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Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance, we’ve spent over a century creating innovative products, services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.
Description The Specialty Product Design and Modeling Team are the team behind the science of pricing for Liberty Mutual's Specialty Lines products (Landlord, Umbrella, Condo, Renters, Specialty Vehicles). Using advanced predictive analytics and statistical modeling, we build and refine rating programs that drive profitable growth. But we're more than a modeling team. We shape strategy, decide which variables matter, source the best data, and design rating programs that give Liberty Mutual a genuine competitive edge. About the Role: This is Director level position is a senior individual contributor role reporting to the Specialty Senior Director with two core components: - Frontier Program Representation: Liberty Mutual is transforming US Retail Markets Personal Lines through radical simplification - one unified set of products across all distribution channels, digitally enabled experiences, and a modern Unified Insurance Platform (UIP) built for simplicity, speed, and scale. You will serve as the primary Specialty Data Science representative on this cross-functional effort, translating deep expertise in Specialty rating programs into clear requirements that inform the platform build. This isn't a program management role - it's about ensuring the science of how we price is preserved, correctly implemented, and positioned to evolve on the new platform. - Research: Beyond Frontier, you will advance the science of Specialty pricing - researching new modeling techniques, evaluating novel data sources, and improving segmentation - while contributing to high-impact research and modeling work across the Specialty portfolio. What You'll Do: - Own Specialty's voice on Frontier - ensure our requirements are heard, documented, and built correctly across a multi-year transformation - Become the expert on all Specialty rating programs: coverages, rating structures, data definitions, and pipelines - Connect the dots across Product, Technology, Delivery, and Actuarial teams - keep work moving and surface problems early - Research emerging modeling techniques, test new variables, and identify data sources that sharpen our competitive edge - Flex across the Specialty team to support high-priority modeling and analytical work - Tell the story - communicate complex technical work clearly to senior leaders and cross-functional partners Ideal Candidate: - You're energized by complex problems and equally comfortable in model details and executive conversations - You don't wait to be told what to do - you figure out what needs to happen and make it happen - You thrive in ambiguity and pick up new domains faster than most - You have personal lines insurance experience and hands-on modeling skills (Python, SAS, Emblem) - You are able to collaborate and achieve alignment across large cross-functional teams Preferred Qualifications: Education & Experience - Advanced degree in Statistics, Mathematics, Data Science, or a related quantitative field preferred; Bachelor's degree with substantial relevant experience considered - 6-8 years of relevant insurance experience preferred Technical Skills - Deep knowledge of predictive analytic techniques and statistical model diagnostics - Proficiency in predictive modeling tools (e.g., Python, SAS, Emblem, Excel) - Strong understanding of data sources, rating systems, and Specialty Lines business context (lines, systems, pricing plans) Leadership & Communication - Demonstrated ability to communicate complex information clearly - verbally, visually, and in writing - across varied audiences and stakeholder levels - Skilled at building relationships and driving alignment across large, cross-functional teams - Ability to use data and analysis to influence teams, department heads, and senior leadership - Value-driven mindset with strong awareness of business context and impact - Proactively challenges the status quo and identifies opportunities to improve team and organizational capabilities **Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. ** Qualifications - Broad knowledge of predictive analytic techniques and statistical diagnostics of models. - Advanced knowledge of predictive toolset; reflects as expert resource for tool development. - Demonstrated ability to exchange ideas and convey complex information clearly and concisely. - Ability to establish and build relationships within and outside the organization. - Ability to give effective training and presentations to management and other groups. - Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. - Broad knowledge of business drivers and market context. - Has a value driven perspective with regard to understanding of work context and impact. - Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices - California - Los Angeles Incorporated - Los Angeles Unincorporated - Philadelphia - San Francisco $137,000.00 - 257,000.00
Role Description ProPublica is seeking a data analyst to assist the development team in building out the reporting infrastructure that supports sustainable donor growth across our development team. This 12-month temporary position will focus on strengthening Salesforce reporting, donor acquisition tracking and fundraising analytics across membership, midlevel giving and major gifts. Reporting to the director of development services, you'll work closely with colleagues across the development, membership and product teams to improve how donor behavior is tracked and measured across systems including Salesforce, Sailthru, Classy/GoFundMe Pro, Parse.ly and Google Analytics. The ideal candidate combines strong analytical skills with a systems mindset and can translate fundraising questions into reporting frameworks that support better decision-making across the organization. Responsibilities - Assess and strengthen Salesforce reporting capabilities, identifying gaps and opportunities for improvement. - Build and standardize reporting that supports donor acquisition, retention, recurring giving conversion, upgrades, lapses, reactivation and donor progression. - Develop consistent attribution methodologies for donor acquisition and first-gift tracking. - Create shared reporting definitions, documentation and business rules that improve consistency across teams. - Evaluate how donor, campaign and engagement data flows between Salesforce and connected systems, including Sailthru, Classy/GoFundMe Pro, Stripe and other fundraising platforms. - Identify data quality issues, attribution gaps and reporting inconsistencies, and recommend practical solutions. - Partner with product and development services to improve reporting reliability, data quality and donor journey visibility. - Help define and operationalize donor acquisition pathways across channels, including newsletters, website traffic and paid acquisition. - Build dashboards and recurring reporting tools that support fundraising strategy, campaign analysis, audience segmentation and leadership decision-making. - Reduce reliance on manual spreadsheets and ad hoc reporting by creating scalable, self-service reporting resources. Qualifications - 5+ years of experience building reports, dashboards and analytical frameworks in Salesforce. - Experience with donor databases, CRM systems and fundraising operations, ideally within nonprofit, membership or philanthropy organizations. - Strong understanding of donor acquisition, retention, recurring giving, donor upgrades and life cycle reporting. - Experience working across integrated systems such as Salesforce, email service providers and donation platforms. - Ability to translate complex business questions into clear reporting structures and actionable insights. - Strong SQL skills required; experience with Python, R or data visualization tools is a plus. - Comfort working in evolving environments and improving systems incrementally. - Strong communication and collaboration skills, with the ability to work effectively across technical and nontechnical teams. - An entrepreneurial approach to problem-solving and stakeholder engagement. What Success in This Role Looks Like - Development teams can reliably identify where donors come from and how they move through the donor life cycle. - Leadership can track acquisition performance and fundraising outcomes without extensive manual analysis. - Core donor journey reporting is documented, trusted and widely used. - Salesforce reporting is significantly stronger and easier for teams to use independently. - Cross-functional teams operate from shared reporting definitions and metrics. - Staff spend less time gathering data and more time acting on insights. Benefits - This job is full time and includes benefits. - ProPublica is based in New York, but we’re open to remote candidates. - We have offices in New York City; Washington, D.C.; Atlanta; Chicago; Phoenix; and Berkeley, California. - Applicants must be eligible to work in the U.S. - The expected salary range for this position is $95,000 to $115,000. - This is a good-faith estimate of what we expect to pay for this position. - The final salary figure will take into account a person’s experience, accomplishment and location. - ProPublica is committed to paying its staff equitably.
At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers, and patients. Join us in driving growth and improving lives.
Role Description We are seeking a highly skilled Business & Data Analyst leader to support a strategic, enterprise-wide transformation of the end-to-end client financial workflow. This role will serve as a senior analytical leader within the program, responsible for driving business requirements, end‑to‑end process redesign, data insights, and analytical solutions that modernize legacy processes and enable automation, AI-driven capabilities, and a modern technology ecosystem. The Lead Business & Data Analyst will work closely with the Director of Program Delivery, cross-functional business stakeholders, and technical teams to ensure the program delivers measurable business value, improved operational efficiency, and enhanced data-driven decision-making. Key Responsibilities - Business Analysis & Process Transformation - Lead end-to-end business requirements gathering across multiple functional areas (Finance, Operations, Accounting, Sales/Account Management). - Translate strategic objectives into clear business needs, functional requirements, and acceptance criteria. - Conduct current-state and future-state process mapping, identifying gaps, inefficiencies, and automation opportunities. - Partner with process owners to redesign workflows and ensure alignment with enterprise standards. - Data Analysis & Insights - Analyze complex financial, operational, and client data to identify trends, root causes, and opportunities for optimization. - Develop data models, business rules, and analytical frameworks to support forecasting, reporting, and performance measurement. - Validate data quality and work with technical teams to ensure data integrity across systems. - Solution Design & Technology Enablement - Collaborate with engineers, AI solution teams, and business partners to translate business needs into actionable technical requirements. - Contribute to the design of AI-enabled use cases, automation logic, and decision-support tools. - Participate in testing strategies, including UAT, data validation, workflow verification, and defect resolution. - Stakeholder Engagement & Communication - Serve as a key liaison between business teams and technology teams, ensuring clarity and alignment. - Facilitate workshops, working sessions, and presentations to drive consensus and decision-making. - Communicate progress, risks, and dependencies across program leadership and cross-functional stakeholders. - Program Support & Governance - Ensure deliverables adhere to program timelines, governance standards, and quality benchmarks. - Support the Director of Program Delivery in milestone planning, prioritization, and risk mitigation. Qualifications - Bachelor’s degree in Business, Finance, Information Systems, Analytics, or related field. - 5 + years of experience in business analysis, data analysis, or process transformation within large-scale organizations. - Experience supporting enterprise programs involving system modernization, workflow redesign, automation, or data/AI-enabled capabilities. - Strong background in financial workflow processes, operational analytics, and cross-functional business engagement. - Experience working with global teams. - Expertise in business requirements documentation, process mapping, and workflow design. - Strong analytical and quantitative skills; ability to work with large datasets and derive actionable insights. - Proficiency with analytical tools (e.g., SQL, Excel, BI platforms) and familiarity with modern data technologies. - Ability to translate complex concepts into clear, actionable requirements. - Strong communication, facilitation, and stakeholder management skills. - Detail-oriented with the ability to operate in a fast-paced, evolving environment. Requirements - If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. - For this position, we anticipate offering an annual salary of 98,200 - 163,600 USD / yearly, depending on relevant factors, including experience and geographic location. - This role is also anticipated to be eligible to participate in an annual bonus plan. Benefits - Comprehensive range of benefits, focusing on supporting your whole health. - Health-related benefits including medical, vision, dental, and well-being and behavioral health programs. - 401(k) and company paid life insurance. - Tuition reimbursement. - A minimum of 18 days of paid time off per year. - Paid holidays and leaves of absence.
Role Description This is a remote position. Our Client is hiring a Senior Program Director, AI Data Services to lead complex customer programs across their growing Data Services. This role will be responsible for managing strategic delivery programs across AI data, multilingual AI, speech and audio, expert review, data quality, model improvement workflows, and related technical services. The Senior Program Director will act as a key bridge between customer requirements, commercial commitments, and operational delivery. The ideal candidate is a strong program leader who can manage complexity, drive accountability, communicate clearly with customers and internal teams, and create structure in a fast-moving environment. - Lead strategic customer programs from onboarding through launch, delivery, scale, and steady-state operations. - Own program plans, timelines, milestones, risks, dependencies, reporting, and customer communication. - Partner with Quality, Supply Chain, Solutions, Sales, and leadership to ensure programs are clearly scoped and successfully delivered. - Translate customer requirements into practical workflows, resource plans, delivery milestones, and operating models. - Manage customer governance, including regular status updates, business reviews, issue tracking, and escalation management. - Identify delivery risks early and drive mitigation plans across internal teams. - Improve program documentation, delivery playbooks, reporting templates, and operational processes. - Support complex AI data, multilingual, speech/audio, expert review, and managed services programs. - Help ensure delivery commitments are operationally feasible, commercially aligned, and clearly communicated. - Build strong relationships with customers and internal stakeholders. Qualifications - Senior program management or program director experience in AI data, localization, data annotation, transcription, enterprise services, technical services, managed services, or BPO. - Experience managing complex customer-facing delivery programs. - Strong ability to manage timelines, risks, dependencies, stakeholders, and escalations. - Experience partnering with Operations, Quality, Supply Chain, Sales, Solutions, or technical teams. - Strong customer communication and executive-facing presentation skills. - Ability to bring structure to ambiguous or fast-changing programs. - Strong documentation, reporting, and process improvement skills. - Commercial awareness and understanding of how delivery execution impacts customer growth and retention. Requirements - Experience with AI data services, LLM workflows, model evaluation, speech/audio AI, multilingual AI, expert review, data annotation, or data quality. - Experience supporting strategic enterprise or AI customers. - Experience working across U.S., European, and Latin America time zones. - Experience in a scaling business unit or high-growth services environment. - Experience building program governance models or improving delivery operations. Success in This Role - Stronger governance across strategic Data Services programs. - Clearer customer communication and delivery reporting. - Improved launch discipline, milestone tracking, and risk management. - Better alignment between Sales, Solutions, Operations, Quality, and Supply Chain. - Reduced delivery risk for complex customer programs. - More scalable program management capacity for Data Services growth.
Role Description The Early Development Lead Clinical Data Manager provides technical expertise in all aspects of Data Management. Manage timelines for study data deliveries, including Go-Live, Interim Deliveries, and Final DB Lock. Collaboration with the relevant functions (Clinical, Biostatistics, Database Programming, Medical, Medical Writing etc.) across all geographies. Data Management’s single point of contact to ensure that the contracted Data Management deliverables are being met – specifically in terms of timeliness and quality. The Early Development Lead Clinical Data Manager works with minimal guidance from their Line Manager and/or Subject Matter Experts. DMs may act as a mentor for ADMs or other DM peers. Key Accountabilities - Cross-functional DM Leadership through Database Set up, Conduct and Study Close-Out - Manage and coordinate the integration and utilization of all ancillary systems as appropriate. - Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive to resolution with cross-functional stakeholders as part of Risk Management Plan. - Review and analyze metrics to derive meaningful summary of study health and trends. - Review of the Master Services Agreement, Service Level Agreement, and/or contract to manage toward sponsor-specific metric targets/Key Performance Indicators. - Attend cross-functional meetings. Prepare Meeting Agendas and Minutes, comply to action and decision logs. - Bid Pursuits and Proposals: Portray Parexel's technical and operational expertise and capabilities, and tailor to meet sponsor's specific needs. - Provide input to bid pursuit slides. - Present with confidence and as a cohesive Parexel team with other functions. - Project Quality Management: Ensure compliance to Standard Operating Procedures, ICH/GCP Guidelines. - Maintain inspection-ready Trial Master File. - Identification of quality issues, ensuring they are raised in relevant system and closed according to requirements. - Prepare for and participate in audits and inspections for internal, sponsor, and regulatory agencies. - Drive and implement Corrective/Preventive actions for study, and work toward alignment across Parexel as appropriate - share lessons learned across multiple projects within a program or therapeutic area. - Project Financial and Resource Management: Collaborate with Delivery Lead and/or line management to ensure appropriate project level resourcing of staff and staff assignments. - Identify and request functional staff necessary for the project team. - Collaborate with Delivery Lead and/or line management to determine and resolve the root cause of DM-related project variance in a timely manner, including negotiating/raising changes in scope. - Company Initiatives: Provide Data Management functional input, considering the impact of the initiative and the impact on Data Management and Parexel as a whole. - Collaborate with other functions as appropriate to provide meaningful functional feedback on the initiative. - Ensure Parexel-requested information entered in management systems is accurate and regularly updated. - Training: Maintain training compliance as per Job Roles assigned, including On-the-Job training. - Deliver Project Specific Training to internal DM team. - Address training needs, as per Development Goal/s identified. - Deliver On-the-job training where needed/requested. Qualifications - Strong ability to lead and collaborate with global teams. - Strong negotiation skills and ability to influence in order to achieve mutually beneficial results. - Strong interpersonal, oral and written communication skills using concise phrasing tailored for the audience with a diplomatic approach. - Learning ability and knowledge sharing approach; swift understanding of technologies and new processes. - A flexible attitude with respect to work assignments and new learning; ability to adjust rapidly to changing environments. - Proficient presentation skills. - Customer focus to interact professionally and respectfully within Parexel and all external colleagues to build rapport and trust. - Commitment to first time quality, including a methodical and accurate approach to work activities. - Time management and prioritization skills, in order to meet objectives and timelines. - Proven problem-solving skills, including capability to make appropriate decisions in ambiguous situations, ability to conduct root cause analyses. - Ownership and accountability for Key Accountabilities in Job Description. - Ability to travel as required. - Written and oral fluency in English. Knowledge and Experience - Strong experience in clinical research industry. - Proven record of leading project and program teams. - Good understanding and application of Parexel project tools, reports and processes for management of project financials with regards to forecasting, revenue recognition, scope of work and department budget for assigned projects. - Good understanding of Clinical Study Team roles outside of Data Management. - Full understanding and application of relevant ICH-GCP Guidelines, local regulatory requirements and Parexel SOPs and study specific procedures. - Aware of SDTM/CDISC/CDASH standards. - Strong technical skills including, but not limited to the knowledge of Clinical Trial/Data Management Systems (e.g. InForm, Rave, Veeva, DataLabs) and Microsoft Office products. Education - Bachelor’s degree and/or other qualifications in a science or clinical related industry. - Minimum 3 years of relevant experience. - Must have early development experience. EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Role Description The Junior Data Analyst supports business decision-making by collecting, analyzing, and interpreting operational, maintenance, and facilities data. This role works closely with facilities management, HVAC technicians, maintenance teams, and business stakeholders to identify trends, improve operational performance, and support data-driven decision-making. The ideal candidate combines strong analytical abilities with an understanding of building systems, facilities operations, HVAC equipment, maintenance processes, or related technical environments. This role is well-suited for individuals transitioning from facilities, maintenance, HVAC, or technical services roles into data analytics. Job Responsibilities - Collect, clean, validate, and organize data from CMMS, work order systems, BAS/BMS platforms, HVAC monitoring systems, and other operational databases. - Analyze maintenance, asset, energy, and operational data to identify trends and opportunities for improvement. - Develop and maintain dashboards, reports, and KPI scorecards using Power BI, Excel, or similar tools. - Support facilities and operations teams by providing actionable insights from operational data. - Monitor data quality and investigate reporting discrepancies. - Assist with forecasting maintenance workloads, equipment replacement planning, and resource utilization. - Prepare recurring and ad hoc reports for management and operational stakeholders. - Document reporting processes, data sources, and analytical methodologies. - Collaborate with technical teams to improve data collection and reporting accuracy. Qualifications - Bachelor's degree is preferred in Data Analytics, Business Analytics, Information Systems, Statistics, Mathematics, Engineering, Facilities Management, or a related field. - Equivalent combination of education plus relevant facilities, maintenance, HVAC, building operations, technical services, or related experience. - 0-3 years of experience in data analysis, reporting, operations support, facilities management, HVAC, maintenance, or related fields. - Proficiency in Microsoft Excel, including PivotTables, formulas, and data analysis functions. - Basic knowledge of SQL or willingness to learn database querying. - Strong problem-solving and analytical skills. - Excellent attention to detail and organizational abilities. - Strong written and verbal communication skills.
Role Description We are looking for a dedicated Data Entry Specialist to join our growing team at Spotter. This individual will play a key role in managing and maintaining the integrity of data within our systems. As a Data Entry Specialist, you will be responsible for accurately inputting, organizing, and updating various types of data in our databases, spreadsheets, and other internal tools. You will work closely with our teams across departments, ensuring that data is consistent, reliable, and ready for analysis, helping us to deliver high-quality results for our clients. This role requires a strong attention to detail, the ability to manage large datasets, and a commitment to accuracy. As part of the Spotter team, you will be integral to maintaining smooth data operations and supporting our AI-powered solutions. Key Responsibilities - Data Entry and Management: Enter and update large volumes of data into various internal systems, ensuring that all data is accurate, complete, and well-organized. - Data Validation and Quality Assurance: Regularly review and verify data for completeness and accuracy. Correct errors or inconsistencies in datasets. - Data Organization: Organize and classify data into relevant categories, making sure it is easy to access and retrieve for analysis. - Collaboration with Teams: Work closely with various departments to ensure that data is accurately entered and integrated across multiple systems. - Data Reporting Support: Assist in the creation and preparation of reports, documents, and presentations based on data collected from various sources. - Routine Data Audits: Conduct regular data audits to ensure data integrity is maintained. - Automation and Efficiency Improvements: Collaborate with the technical team to identify areas where data entry processes can be streamlined or automated. - Maintaining Confidentiality and Security: Handle all data with the utmost confidentiality, ensuring that sensitive information is protected. - Continuous Learning: Stay updated on the latest tools, techniques, and technologies used in data management and data entry. - Timely and Accurate Work: Adhere to deadlines and maintain high productivity levels. Qualifications - Strong attention to detail. - Ability to manage large datasets. - Commitment to accuracy. Requirements - Experience with data entry and management. - Familiarity with data validation and quality assurance processes. - Proficiency in using spreadsheets and internal tools. Benefits - Opportunities for training and development. - Supportive team environment. - Access to AI-powered tools for efficiency improvements.
Hospitals and healthcare services in Indianapolis, Lafayette, northwest and western Indiana and south-suburban Chicago.
Role Description At Franciscan, our IS Enterprise Digital Solutions Architect ("Architect") is a strategic and hands-on technical leader responsible for designing and delivering enterprise-grade digital solutions across data analytics, automation, interfaces, and AI domains. In this role you will be accountable for creating a cohesive architectural strategy that unifies the organization's technology stack to solve complex business challenges and advance digital transformation. - Lead the architectural vision, reference models, and standards for several domains including data, AI, and automation. - Serve as the Product Owner for prioritized digital, AI, and solutions development initiatives. - Increase the analytics, AI, and solutions development maturity for the organization. - Drive best practices and continuous improvement in various domains. - Effectively lead to promote, deliver, and adopt mature and robust solutions. - Define, articulate, and update the guiding principles that drive the technical standards. - Prescribe and optimize the use of modern platforms and capabilities. - Drive reuse of components, modular architecture, and standardized practices across business units. Qualifications - Required: Bachelor's Degree in Computer Science, Informatics, Computer Programming, Engineering (Computer, Mechanical, Network, or Electrical), Information Security. - Preferred: Master's Degree in Computer Science, Informatics, Computer Programming, Engineering (Computer, Mechanical, Network, or Electrical), Information Security. - 10+ years of hands-on solutions development and architecture across cloud and on-prem environments. - 8 years of custom development experience with deep understanding of IT systems, applications, data structures, and infrastructure. - 8 years of software development/engineering and programming with one or more industry standard languages such as SQL, Python, Java, C++ etc. - 7 years of progressive experience in enterprise architecture or IT strategy roles. - 5 years of experience with cloud-native tools and technologies on Microsoft Azure platform. - 5 years of experience with healthcare enterprise platforms such as Epic, Workday, ServiceNow etc. (Preferred). - 5 years of healthcare technology experience, particularly within hospital systems or integrated delivery networks (Preferred). Requirements - Travel is required: Never or Rarely. - Job Range: IS Enterprise Digital Solutions Architect $117,340 - $161,343.63. Benefits Franciscan provides eligible employees with comprehensive benefit offerings. Find an overview on the benefit section of our career site, jobs.franciscanhealth.org.
Role Description Maximo Senior Data Lead responsible for designing and executing data migration strategies for USPS Maximo implementations. Reviews source system architecture and data, identifies required data elements, and develops migration plans. Creates custom migration objects and workflows to import and validate data. Oversees transformation of historical data and ensures alignment with project timelines and dependencies. Supports database performance, integrity, and compliance across multiple platforms and environments. Must be able to work without direct input from USPS staff, while ensuring that outcomes are aligned with USPS vision, mission, and objectives. Technical skills, programming expertise, and knowledge of Maximo data structures are a given. - Monitor data migration workstreams and coordinate activities with project team (10%) - Lead data analysis (25%) - Develop data migration strategies (25%) - Create data migration objects (10%) - Execute data migration (10%) - Quality reviews (20%) Qualifications - Master's degree or higher in Computer Science, Engineering, Applied Mathematics, or other technical or mathematical fields with 5 years of experience in federal OR - Bachelor's degree or higher in Computer Science, Engineering, Applied Mathematics, or other technical or mathematical fields with 10 years of experience in federal OR - 10+ years of experience with Data and Optimization program definition and execution across multiple industries - 5+ years of experience with data governance and implementing data management standards across large-scale projects and organizations Requirements - Maximo 9 Experience - Microsoft Excel - Microsoft Word - MS SQL or Similar Databases - ETL Tools - Excellent Verbal and Communication Skills Benefits - Work Type: Remote - Travel is Required - Candidate must be eligible for Security Clearance: United States - MBI - To be considered for work per project needs, a candidate must be either a U.S. Citizen or a Permanent Resident Alien (No HQ visa holders).
ROLE SUMMARY The Head of Data & BI Platform Engineering owns Pfizer's enterprise data and business intelligence platform layer. This encompasses the platforms on which Pfizer's structured and semi-structured data is stored, processed, transformed, and visualized, including the organization's core data warehousing and lake platforms (such as Snowflake and Databricks), data integration and transformation tools (such as Alteryx and Mulesoft), and enterprise BI and visualization platforms (such as Tableau, Power BI, and Spotfire). Pfizer's AI & Data Center of Excellence (CoE) exists to accelerate the Enterprise AI Strategy, enabling every function, every builder, and every decision-maker to work faster and with greater precision. At the foundation of that strategy is data: well-structured, governed, and readily accessible data that AI systems, analytics teams, and business leaders can depend on. The data platforms this leader manages are a critical upstream dependency for the majority of AI workloads across Pfizer, making the reliability, performance, and governance of these platforms a direct enabler of the organization's AI ambitions. In this role, you will lead a team of engineers and platform specialists across and will be accountable for delivering these platforms as enterprise services with published SLAs, governed access, and measurable value to the federated AI and analytics teams that depend on them. ROLE SUMMARY This role has direct ownership accountability for the following platform categories: Data Warehousing and Lakehouse Platforms - Enterprise data warehouse and lakehouse platforms (e.g., Snowflake, Databricks, Amazon Redshift) including infrastructure, administration, performance tuning, cost governance, and access management. - Unified storage and compute environments for structured, semi-structured, and large-scale analytical data workloads across all divisions. Data Integration and Transformation - Data pipeline and integration tooling (e.g., Alteryx, dbt, FiveTran, Databricks, or equivalent) including pipeline development standards, orchestration, and operational monitoring. - ETL/ELT framework governance, enabling self-service data preparation for analysts while maintaining data quality and lineage standards. - Knowledge graph, ontology, and semantic model tooling (e.g., Neo4J, SciBite, Stardog, Neptune, etc.) Business Intelligence and Visualization Platforms - Enterprise BI and visualization platforms (e.g., Tableau, Power BI, Spotfire) including platform administration, licensing governance, performance, and user access. - Semantic layer and report governance standards, in partnership with the AI Ready Data team, to ensure consistent and trusted metric definitions across the enterprise. Data Catalog and Observability - Data catalog tooling and metadata management, enabling data discoverability and lineage tracking across the platform estate. - Platform observability and data reliability engineering including SLA monitoring, data quality alerting, and incident response. Key Responsibilities Platform Leadership and Strategy - Define and own the Data & BI platform strategy and multi-year roadmap, ensuring platform investments are aligned to the needs of federated AI and analytics teams across Pfizer. - Lead, develop, and grow a team of engineers and platform specialists across Platform Operations, Platform Development, and Data Reliability pods. - Establish and maintain product-minded ownership of the platform portfolio with roadmap priorities driven by user needs, validated through regular engagement with platform consumers. - Own the vendor relationships and licensing strategy for the data and BI platform portfolio, including contract management, performance governance, and technology evaluation. - Partner with the Head of AI Ready Data to ensure platform infrastructure and data governance standards are tightly integrated, the platform must serve AI-ready data, not just available data. Platform Engineering and Operations - Oversee the design, build, and operation of enterprise data pipelines, warehouse/lakehouse environments, and BI infrastructure at scale. - Define and publish platform SLAs covering availability, data freshness, query performance, and pipeline reliability and hold the team accountable to them. - Establish data reliability engineering practices including error budgets, on-call processes, incident response, and blameless post-mortems, in coordination with the CoE Platform Reliability / SRE function. - Drive platform cost transparency and FinOps practices ensuring compute and storage costs are visible, attributed, and continuously optimized. - Ensure all platforms meet Pfizer's enterprise security, privacy, and regulatory compliance requirements, in partnership with the CISO organization and Trusted AI team. Stakeholder Engagement and Adoption - Serve as the primary platform interface for federated AI and analytics teams across Pfizer, proactively embedding platform support and enabling self-service access. - Partner with Enterprise Architecture and existing Pfizer Digital & Technology data teams to ensure the CoE platform extends and modernizes existing data infrastructure investments rather than duplicating them. - Contribute to the AI & Data Guild network, enabling cross-functional awareness of platform capabilities, best practices, and available data assets. - Report regularly to the Chief AI and Data Officer on platform health, SLA performance, adoption metrics, and investment priorities. BASIC QUALIFICATIONS - Master's degree in Computer Science, Information Systems, Engineering, or a related discipline; or equivalent years of experience. - 15+ years of progressive experience in data engineering, data platform architecture, or enterprise analytics infrastructure, with a minimum of 5 years in a senior engineering leadership role. - Demonstrated hands-on experience administering and scaling enterprise data warehousing or lakehouse platforms at scale, including at least one of the following: Snowflake, Databricks, Amazon Redshift, or Azure Synapse. - Proven experience managing enterprise BI and visualization platforms (e.g., Tableau, Power BI, or Spotfire), including governance, performance, and adoption programs. - Experience with data integration and pipeline tooling (e.g., Alteryx, dbt, Informatica, Fivetran, or equivalent) in a large enterprise context. - Proven track record of leading platform teams with an SLA-driven, product-minded operating model with documented outcomes in platform reliability, cost efficiency, and user adoption. - Strong command of data catalog, metadata management, data lineage, and data quality frameworks in enterprise environments. - Experience establishing platform governance in regulated industries, including data privacy controls, access management, and audit trail requirements. - Demonstrated ability to lead through influence in a federated organizational model - driving adoption through value delivery and user experience, not mandate. - Exceptional communication skills, with the ability to translate platform strategy and technical trade-offs for both technical teams and executive stakeholders. - Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. PREFERRED QUALIFICATIONS - Experience in the biopharmaceutical, life sciences, or healthcare sector, with familiarity with GxP data requirements, HIPAA, and FDA data integrity expectations. - Experience supporting AI and machine learning workflows as a data platform consumer understanding of feature engineering pipelines, training data requirements, and model data dependencies. - Familiarity with semantic layer tools (e.g., dbt metrics layer, Looker LookML, AtScale) and governed metric management. - Experience operating within or alongside a Center of Excellence or shared services model in a large, matrixed organization. - Working knowledge of FinOps practices for cloud data platform cost governance. - Experience with modern data stack architectures including data mesh, data lakehouse, and medallion architecture patterns. Other Job Details: - Last Day to Apply: 7/28/2026 - Work Location Assignment: Hybrid The annual base salary for this position ranges from $274,000.00 to $456,600.00.* In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 30.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. * The annual base salary for this position in Tampa, FL ranges from $246,600.00 to $411,000.00. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers . Information & Business Tech
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