AHCCCS Arizona Health Care Cost Containment System Accountability, Community, Innovation, Leadership, Passion, Quality, Respect, Courage, Teamwork The Arizona Health Care Cost Containment System (AHCCCS), Arizona’s Medicaid agency, is driven by its mission to deliver comprehensive, cost-effective health care to Arizonans in need. AHCCCS is a nationally acclaimed model among Medicaid programs and a recipient of multiple awards for excellence in workplace effectiveness and flexibility. AHCCCS employees are passionate about their work, committed to high performance, and dedicated to serving the citizens of Arizona. Among government agencies, AHCCCS is recognized for high employee engagement and satisfaction, supportive leadership, and flexible work environments, including remote work opportunities. With career paths for seasoned professionals in a variety of fields, entry-level positions, and internship opportunities, AHCCCS offers meaningful career opportunities in a competitive industry. Come join our dynamic and dedicated team. Enterprise Data & AI Platform Architect Information Services Division (ISD) Job Location: Address: 150 N 18th Ave, Phoenix, AZ 85007 Posting Details: Must Reside in Arizona. Salary: $90,000 - $105,000 Grade: 29 FLSA Status: Exempt Closing Date: Open Until Filled This position may offer the ability to work remotely, within Arizona, based upon the agency’s business needs and continual meeting of expected performance measures. Job Summary: A career in public service awaits you. COME JOIN OUR TEAM! A great benefit of working for the State of Arizona is a fantastic work/life balance. State employees enjoy challenging work, popular remote work options, comprehensive health and wellness benefits, and career growth opportunities. The State of Arizona ranks #30 in Healthiest 100 Workplaces in America! This recognition honors organizations that champion employee wellbeing through innovative health programs, inclusive wellness initiatives, and a culture rooted in care. The Enterprise Data & AI Platform Architect at the Arizona Health Care Cost Containment System (AHCCCS) provides advanced technical and architectural expertise in designing, modernizing, and operating AHCCCS’s enterprise data and AI platform. Reporting to the Data Warehouse Manager, this pivotal role steers the transformation of legacy systems into a secure, scalable, Microsoft-based ecosystem centered on Microsoft Fabric, Azure data services, and enterprise governance frameworks. The position is responsible for defining and implementing enterprise data architecture standards that enable advanced analytics, artificial intelligence, and machine learning capabilities. The Architect ensures platform reliability, performance optimization, regulatory compliance, DevOps maturity, and AI enablement architecture aligned with the Chief Data Officer’s strategic vision, while guiding and mentoring technical teams supporting the platform. This role provides enterprise-wide architectural leadership across systems, platforms, and data domains supporting Arizona’s Medicaid program. The Architect designs, develops, and maintains enterprise-level data solutions that support claims processing, eligibility systems, provider networks, member services, regulatory reporting, and population health initiatives. The position is instrumental in modernizing AHCCCS’s data infrastructure using Microsoft’s cloud and analytics platform while maintaining integration with existing enterprise systems and ensuring HIPAA compliance, data governance, and long-term scalability. The Architect partners closely with the Chief Data Officer, business stakeholders, and IT leadership to align enterprise data strategy with AHCCCS mission objectives, while overseeing architectural standards and best practices across the enterprise data platform. Major duties and responsibilities include, but are not limited to: • Data Architecture & Design: Design and implement scalable enterprise data architecture solutions using Microsoft Fabric as the primary analytics platform. Develop comprehensive data models, data flow diagrams, and architectural blueprints aligned with AHCCCS business objectives. Design end-to-end data solutions including ingestion, transformation, storage, semantic modeling, and consumption layers. Ensure architecture supports real-time analytics, reporting, operational workflows, and AI enablement. Create and maintain enterprise data standards, policies, and architectural governance documentation. • Platform Implementation & Integration: Lead implementation of Microsoft Fabric components including Data Factory, Synapse Analytics, Power BI, and Data Activator. Design and optimize Azure data services including Azure SQL Database, Azure Data Lake Storage, Cosmos DB, and Azure Databricks. Integrate legacy systems including Informatica PowerCenter/IICS for ETL processes and IBM Cognos for enterprise reporting. Develop integration strategies between on-premises and cloud environment. Implement data governance frameworks using Microsoft Purview. • Healthcare Data Management & Compliance: Design HIPAA-compliant data architectures ensuring privacy, security, and regulatory compliance. Work with healthcare data standards including HL7, FHIR, X12 EDI, and CMS data specifications. Architect solutions supporting claims data, eligibility systems, provider networks, and member information. Support population health analytics, quality measure reporting, and actuarial analysis requirements. • Leadership, Oversight & Collaboration: Guide and mentor data engineers and technical staff supporting the enterprise data platform. Oversee and review technical work to ensure alignment with established architectural standards and best practices. Collaborate with business stakeholders, analysts, security, and compliance teams to translate requirements into technical solutions. Lead proof-of-concept initiatives and evaluate emerging technologies. Document architectural decisions, design patterns, and best practices. • AI Enablement Architecture: Design AI-ready data architectures supporting machine learning, predictive analytics, and advanced AI workloads. Establish data patterns to support model development, feature engineering, and AI lifecycle integration. Ensure lineage, transparency, governance, and compliance frameworks for responsible AI usage. Enable integration of Fabric, Azure AI services, Power Platform, and advanced analytics tools. • Performance, Optimization & Operational Oversight: Optimize data pipelines for performance, cost-efficiency, scalability, and reliability. Implement data quality frameworks and monitoring solutions. Design disaster recovery and business continuity strategies. Establish performance benchmarks and SLAs for enterprise data systems. Knowledge, Skills & Abilities (KSAs): Knowledge: • Enterprise data and AI platform architecture principles • Microsoft Fabric architecture and components • Azure services including Data Factory, Synapse Analytics, Azure SQL, Data Lake Storage, Cosmos DB, and Azure Databricks • Advanced data modeling methodologies (dimensional modeling, data vault, lakehouse patterns) • Data governance, metadata management, and Microsoft Purview • Healthcare data standards including HL7, FHIR, X12, and CMS specifications • HIPAA and regulatory compliance requirements • DevOps practices, CI/CD pipelines, and Infrastructure as Code • Integration patterns between on-premises and cloud systems Skills: • Designing enterprise-scale data and AI platform solutions • Providing technical leadership in platform modernization initiatives • Influencing and mentoring technical teams in implementing architectural standards and best practices • Performance tuning and cost optimization in cloud environments • Translating business objectives into architectural solutions • Communicating complex technical concepts to non-technical stakeholders • Implementing DevOps and automated deployment pipelines Abilities: • Develop and execute long-term enterprise data architecture roadmaps • Balance operational stability with modernization efforts • Lead cross-functional collaboration across organizational boundaries • Analyze complex business problems and design scalable data solutions • Maintain meticulous attention to data quality and documentation • Adapt to evolving technologies and priorities • Build strong internal and external stakeholder relationships Qualifications: Minimum: • Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field and Seven (7) or more years of experience in data architecture, data engineering, or related roles to include hands-on experience with Microsoft Azure cloud services, hands-on experience with Power BI, hands-on experience with Microsoft Fabric, and Proven experience designing and implementing enterprise-scale data solutions (or equivalent experience). Preferred: • Master’s degree in related field. Experience with Microsoft Fabric, Synapse Analytics and Power BI, experience in healthcare, government, Medicaid/Medicare programs,or insurance or public sector data environments, Microsoft Certified: Azure Data Engineer Associate. Microsoft Certified: Azure Solutions Architect Expert. Microsoft Certified: Fabric Analytics Engineer Associate, Microsoft Certified: Fabric Data Engineer Engineer Associate, Microsoft Certified: Power BI Data Analyst Associate, familiarity with Informatica PowerCenter/IICS, familiarity with IBM Cognos Analytics, Python or PySpark experience, Databricks experience, TOGAF or equivalent enterprise architecture certification. Pre-Employment Requirements: • Successfully pass fingerprint background check, prior employment verifications and reference checks; employment is contingent upon completion of the above-mentioned process and the agency’s ability to reasonably accommodate any restrictions. • Travel may be required for State business. Employees who drive on state business must complete any required driver training (see Arizona Administrative Code R2-10-207.12.) If this position requires driving or the use of a vehicle as an essential function of the job to conduct State business, then the following requirements apply: Driver’s License Requirements. All newly hired State employees are subject to and must successfully complete the Electronic Employment Eligibility Verification Program (E-Verify). Benefits: Among the many benefits of a career with the State of Arizona, there are: • 10 paid holidays per year • Paid Vacation and Sick time off (13 and 12 days per year respectively) - start earning it your 1st day (prorated for part-time employees) • Paid Parental Leave-Up to 12 weeks per year paid leave for newborn or newly-placed foster/adopted child. Learn more about the Paid Parental Leave pilot program here. • Other Leaves - Bereavement, civic duty, and military. • A top-ranked retirement program with lifetime pension benefits • A robust and affordable insurance plan, including medical, dental, life, and disability insurance • Participation eligibility in the Public Service Loan Forgiveness Program (must meet qualifications) • RideShare and Public Transit Subsidy • A variety of learning and career development opportunities By providing the option of a full-time or part-time remote work schedule, employees enjoy improved work/life balance, report higher job satisfaction, and are more productive. Remote work is a management option and not an employee entitlement or right. An agency may terminate a remote work agreement at its discretion. Learn more about the Paid Parental Leave program here. For a complete list of benefits provided by The State of Arizona, please visit our benefits page Retirement: Lifetime Pension Benefit Program • Administered through the Arizona State Retirement System (ASRS) • Defined benefit plan that provides for life-long income upon retirement. • Required participation for Long-Term Disability (LTD) and ASRS Retirement plan. • Pre-taxed payroll contributions begin after a 27-week waiting period (prior contributions may waive the waiting period). Deferred Retirement Compensation Program • Voluntary participation. • Program administered through Nationwide. • Tax-deferred retirement investments through payroll deductions. Contact Us: Persons with a disability may request a reasonable accommodation such as a sign language interpreter or an alternative format by emailing careers@azahcccs.gov. Requests should be made as early as possible to allow time to arrange the accommodation. The State of Arizona is an Equal Opportunity/Reasonable Accommodation Employer.

Work Schedule Standard Office Hours (40/wk) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Digital transformation is a cornerstone of the continued development and expansion of Thermo Fisher’s global network of drug substance manufacturing sites. Our aim is to integrate best-in-class real-time data collection, visualization, and analytics into standard manufacturing workflows in each facility. This role will take on responsibility for building, validating, and maintaining GxP data acquisition, analytics, and visualization solutions for use cases across the Biologics (BIO) business unit (BU). You will liaise with process SMEs in Manufacturing Sciences and Technology (MSAT) to define specific product and user requirements, build SQL queries and parameter logic within Discoverant, and work with IT and CSV to validate changes per a formal Software Development Lifecycle (SDLC) business process to deliver software solutions for efficient execution of Continued Process Verification (CPV) and routine process monitoring activities. You will also be able to take initiative to investigate feasibility of new tools and platforms to further streamline and enhance data analytics use cases across the network. As part of the global Biologics Strategy and PMO group you will have the opportunity to work with various departments at all the manufacturing and development sites in the network. As such, the successful candidate will be a highly motivated self-starter who is able to work independently, remotely, and outside normal business hours with internal and external customers across multiple time zones in the US, Europe, and Asia-Pacific regions. Key Responsibilities: - Drive the execution and adoption of the process data analytics (PA) technologies and capabilities for the Biologics (BIO) business unit (BU). - Build and maintain Discoverant product hierarchies for global BIO programs according to standard best practices for manufacturing process modelling and nomenclature under a formal SDLC change control process. - Partner with global and site MSAT to build and deliver user requirements and streamline the execution of Continued Process Verification (CPV), routine process monitoring, and external data sharing activities through usage of Discoverant. - Develop and integrate data visualization solutions into existing MSAT workflows including manufacturing process and material genealogy use cases. - Work collaboratively to engage site leadership and technical SMEs to advance programs related to global process analytics. - Liaise with Global IT, Computerized Systems Validation (CSV), and Data Engineering and Process Analytics (DEPA) to adhere to Discoverant platform-level best practices and procedures and provide input for future system enhancements and upgrades. - Investigate the applicability of advanced analytical tools such as real-time multivariate process modelling or process knowledge management for improving development and manufacturing. - Support or lead projects related to Pharma 4.0, AI/ML, and other digital transformation initiatives for the BIO BU. Minimum Requirements/Qualifications: Key Skills / Experience: - Experience building and configuring process analytics data management systems such as Skyland PIMS, BIOVIA Discoverant, or TIBCO Statistica. - Experience with systems integration, building SQL queries against relational databases for applications commonly used in pharmaceutical manufacturing facilities such as laboratory information management systems (LIMS), enterprise resource planning (ERP) systems, manufacturing execution systems (MES), distributed control systems (DCS), process data historian systems (AVEVA PI). - Experience working with statistical analytics platforms (JMP/Minitab/R), data visualization applications (Power BI, Tableau, Spotfire) or programming languages (Python, Visual Basic, HTML/CSS) is a plus. - Strong working knowledge of Statistical Process Control (SPC), Continued Process Verification (CPV), and basic statistics tools and methodologies is a plus. - Working knowledge of the overall Biologics development and manufacturing process. - Experience working in a cGMP Software Development Lifecycle (SDLC) environment. - Ability to work in a matrix management system and influence and negotiate collaboratively with others without direct authority. - Strong project management skills with proven ability to independently manage multiple milestones flexibly in an environment where priorities may change at short notice. - Experienced with writing quality-controlled computerized systems design documents, policy documents and SOPs. - Experienced in participating and leading process improvement and PPI Kaizen projects including the application of Lean/Six Sigma methodologies. - Ability to work independently with minimal daily supervision. - Ability to work outside normal business hours on a semi-regular basis to connect with colleagues in U.S., Europe, and Asia-Pacific time zones. Qualifications & Experience : - Bachelor’s Degree in Computer Science, Chemical Engineering, or STEM related discipline - 3+ years of Computerized Systems Engineering, Data Engineering, or Data Analytics experience in a biopharmaceutical GMP manufacturing environment. Compensation and Benefits The salary range estimated for this position based in Massachusetts is $66,000.00–$99,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: - A choice of national medical and dental plans, and a national vision plan, including health incentive programs - Employee assistance and family support programs, including commuter benefits and tuition reimbursement - At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy - Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan - Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Senior Distinguished Data Engineer (Remote - Eligible) Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. As a core member of our Risk Management technology group, you will spearhead the architecture and delivery of two transformative strategic initiatives: Nexus and our Risk Data Platform. You will be instrumental in engineering sophisticated data products for Compliance and Anti-Money Laundering (AML) while building a unified, self-service ecosystem for our data scientists. Your expertise will help us retire fragmented legacy systems in favor of a scalable, intelligent infrastructure designed for real-time decision-making. If you are passionate about defining the future of risk data strategy and empowering analysts through high-impact engineering, we want to hear from you. - Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices - Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates - Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community - Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: - Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in - Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team - Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible - Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization - Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner - Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent “Capital One is open to hiring a Remote Employee for this opportunity.” Basic Qualifications: - Bachelor’s Degree - At least 9 years of experience in data engineering - At least 5 years of experience in data architecture - At least 3 years of experience building applications in AWS Preferred Qualifications: - Masters’ Degree - 10+ years of experience in data engineering - 3+ years of data modeling experience - 2+ years of experience with ontology standards for defining a domain - 2+ years of experience using Python, SQL or Scala - 1+ year of experience deploying machine learning models - 3+ years of experience implementing big data processing solutions on AWS "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position". The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Data Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Data Engineer New York, NY: $343,400 - $392,000 for Sr Distinguished Data Engineer Richmond, VA: $286,200 - $326,700 for Sr Distinguished Data Engineer San Francisco, CA: $343,400 - $392,000 for Sr Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

• Build and evolve the data platform foundations that make it easy and safe for others to ship dbt work (project structure, environments, permissions, patterns, documentation) • Establish and maintain standards and guardrails for dbt development (testing strategy, source freshness, documentation, code review practices) • Improve the developer experience for data workflows, including CI/CD, automated checks, and repeatable deployment patterns • Partner with Analytics and Finance to define and deliver trusted metrics and dashboards in Looker • Build and maintain analytics-ready datasets that support self-serve reporting and experimentation • Develop and optimize BigQuery data models for analytics and product use cases • Implement ELT best practices in dbt, including testing, documentation, and versioning • Design, build, and maintain scalable data pipelines using Python and dbt • Ensure data quality, reliability, and observability for critical datasets and reporting • Optimize performance and cost across BigQuery and data pipelines • Integrate data workflows with backend services and APIs • Participate in infrastructure decisions related to data ingestion and platform evolution