Senior Appraisal Data Steward

Location

United States

Posted

18 days ago

Salary

$77.7K - $110K / year

Seniority

Senior

Job Description

Senior Appraisal Data Steward

CoreLogic

Role Description The data steward is a core part of the enterprise data management strategy for Cotality, with responsibility for delivering the data management program for a domain of data and proactively improving the health of the data in their domain. Unlocking Value and Governing Cotality's Data Assets: The Senior Appraisal Data Steward is the Data Fluency Leader and Value Enabler for Cotality's core appraisal data assets. This is a strategic, high-impact role responsible for moving Data Stewardship beyond basic curation into AI Enablement and Enterprise Confidence. As a dual role, you are the highest-level expert in data fluency across the property domain and the data supply chain. You act as the primary Business/Technology Liaison, responsible for ensuring all products, models, and decisions built on Cotality’s data have a strong foundation of data that is fit-for-use and has consistent interpretation. Your core mandate is to fundamentally unlock the strategic use of our appraisal data assets for the business by enforcing governance principles and enabling effective data consumption. You will champion the "why" behind governance, providing the essential scaffolding and framing the organization relies on, ensuring that data is Findable, Usable, Well Understood, and Trustworthy. Your success will be measured by delivering AI-Ready Data and championing AI-Enabled Data Stewardship. Key Responsibilities - Data Governance Interpretation and Advocacy - Standard Advocacy & Policy Enablement: Support the creation and maintenance of the Data Stewardship Standard Handbook. - Data Classification and Metadata Stewardship: Responsible for Metadata management and Classification of all core data fields in the property domains. - Compliance and Permissible Use: Partner with data governance, data sourcing, and compliance to ensure appropriate permissible use standards are tagged and enforced. - Center of Excellence (CoE) Leadership: Drive the adoption of stewardship principles through the CoE. - Data Asset Strategy & Ontological Enablement (The Data Asset Enabler) - Strategic Data Asset Readiness & Fit-for-Use: Champion the fitness-for-purpose of appraisal data assets for all business use cases. - Data Feasibility and Product Advisory: Conduct in-depth analysis and research to advise Product, Data Science, and Engineering teams. - Define and Govern Ontology (The Keeper of the Dictionary): Partner with key stakeholders to define the unifying language and global ontology for appraisal data concepts. - AI Readiness and Semantic Interpretation: Collaborate with key stakeholders to design the Clarification Layer within the semantic framework. - AI & Technology Enablement - Operational AI Advocacy: Identify and advise on opportunities where AI and ML operations can be leveraged. - Governance Platform Super User: Act as the primary feedback loop for the Data Governance Tool. - Embedding Governance: Partner with Data Engineering and Technical Stewards to embed governance into the "native run of show." Qualifications - Intimate knowledge of appraisal data domains (Assessor, Appraisal, Transactions) and the specific business use cases within the financial, insurance, or real estate sectors. 5-7 years of relevant experience. - Proven experience in supporting data governance standards, policies, and operating models. - Exceptional communication, presentation, and negotiation skills. - Bachelor's Degree preferred or equivalent work experience. Requirements - Demonstrated hands-on experience as a core user of AI tools (e.g., LLMs, generative AI, advanced analytics). - Background in developing and implementing data ontologies for use in semantic layers. Benefits - Generous PTO and 11 paid holidays, plus well-being and volunteer time off. - Up to 16 weeks of fully paid parental leave and a baby stipend. - Multiple medical plan options with mental health and wellness support offerings. - 401(k) with company match and vesting after one year. - $400 annual well-being stipend and tuition assistance up to $5,250. - Recognition Rewards, Referral bonuses, exclusive discounts and more!

Related Categories

Related Job Pages

More Data Engineer Jobs

Müller`s Solutions logo

Technical Lead - Data Migration, Testing & Quality Execution

Müller`s Solutions

Müller's Solutions is a leading SAP consulting company dedicated to delivering innovative and effective SAP solutions to clients worldwide. Our focus is on empowering businesses through advanced analytics and cloud technologies.

Data Engineer18 days ago

Role Description Muller's Solutions is seeking a Technical Lead specializing in Data Migration, Testing, and Quality Execution to lead migration activities and ensure the successful delivery of high-quality solutions on the Skadina platform. The ideal candidate will oversee data migration strategies, testing activities, and quality assurance processes while ensuring smooth implementation and data integrity throughout the project lifecycle. - Lead end-to-end data migration activities, including planning, mapping, transformation, validation, and reconciliation. - Define and execute data migration strategies and methodologies for Skadina implementations. - Oversee functional, integration, system, regression, and User Acceptance Testing (UAT) activities. - Ensure data quality, integrity, and consistency throughout migration and deployment phases. - Develop and review test plans, test cases, test scripts, and quality metrics. - Coordinate defect management, issue resolution, and root cause analysis activities. - Collaborate with architects, business analysts, developers, and business stakeholders to ensure successful project delivery. - Support cutover planning, deployment activities, and post-go-live stabilization. - Monitor project quality standards and ensure compliance with established processes and best practices. - Provide technical leadership and mentorship to project teams during migration and testing phases. - Prepare and maintain technical documentation, migration plans, and testing reports. Qualifications - Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. - Minimum 8+ years of experience in enterprise application implementation, with significant experience in data migration and testing. - Proven hands-on experience with the Skadina platform. - Strong experience in data migration, ETL processes, data mapping, and data validation. - Experience leading testing activities, including SIT, UAT, regression, and performance testing. - Strong understanding of software quality assurance methodologies and defect management processes. - Experience with test management and defect tracking tools. - Excellent analytical, troubleshooting, and problem-solving skills. - Strong communication and stakeholder management skills. - Experience working in Agile/Scrum environments. Preferred Qualifications - Experience in large-scale digital transformation or migration projects. - Experience in government or public sector projects is highly preferred. - Knowledge of data governance and data quality frameworks. - Experience with automation testing tools and quality assurance frameworks. Key Skills - Skadina Platform - Data Migration & ETL - Testing & Quality Assurance - Data Validation & Reconciliation - UAT, SIT & Regression Testing - Defect Management - Technical Leadership - Root Cause Analysis - Stakeholder Management - Agile/Scrum Methodologies

Estonia
Müller`s Solutions logo

Eskadenia Technical Lead - Data Migration, Testing & Quality Execution

Müller`s Solutions

Müller's Solutions is a leading SAP consulting company dedicated to delivering innovative and effective SAP solutions to clients worldwide. Our focus is on empowering businesses through advanced analytics and cloud technologies.

Data Engineer18 days ago

Role Description Muller's Solutions is seeking a Technical Lead specializing in Data Migration, Testing, and Quality Execution to lead migration activities and ensure the successful delivery of high-quality solutions on the Skadina platform. The ideal candidate will oversee data migration strategies, testing activities, and quality assurance processes while ensuring smooth implementation and data integrity throughout the project lifecycle. - Lead end-to-end data migration activities, including planning, mapping, transformation, validation, and reconciliation. - Define and execute data migration strategies and methodologies for Skadina implementations. - Oversee functional, integration, system, regression, and User Acceptance Testing (UAT) activities. - Ensure data quality, integrity, and consistency throughout migration and deployment phases. - Develop and review test plans, test cases, test scripts, and quality metrics. - Coordinate defect management, issue resolution, and root cause analysis activities. - Collaborate with architects, business analysts, developers, and business stakeholders to ensure successful project delivery. - Support cutover planning, deployment activities, and post-go-live stabilization. - Monitor project quality standards and ensure compliance with established processes and best practices. - Provide technical leadership and mentorship to project teams during migration and testing phases. - Prepare and maintain technical documentation, migration plans, and testing reports. Qualifications - Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. - Minimum 8+ years of experience in enterprise application implementation, with significant experience in data migration and testing. - Proven hands-on experience with the Skadina platform. - Strong experience in data migration, ETL processes, data mapping, and data validation. - Experience leading testing activities, including SIT, UAT, regression, and performance testing. - Strong understanding of software quality assurance methodologies and defect management processes. - Experience with test management and defect tracking tools. - Excellent analytical, troubleshooting, and problem-solving skills. - Strong communication and stakeholder management skills. - Experience working in Agile/Scrum environments. Preferred Qualifications - Experience in large-scale digital transformation or migration projects. - Experience in government or public sector projects is highly preferred. - Knowledge of data governance and data quality frameworks. - Experience with automation testing tools and quality assurance frameworks. Key Skills - Skadina Platform - Data Migration & ETL - Testing & Quality Assurance - Data Validation & Reconciliation - UAT, SIT & Regression Testing - Defect Management - Technical Leadership - Root Cause Analysis - Stakeholder Management - Agile/Scrum Methodologies

Egypt

Data Technologist

stac labs

Stac Labs is a fully-remote, unionized, small and growing startup that values diversity in perspective, background, and life experiences. We aim to grow as a company that represents the inclusive values that power Democratic politics.

Data Engineer18 days ago

Role Description Stac Labs is seeking a talented, hardworking, and energetic person to join our team as a Data Technologist. The Data Technologist will be responsible for building and maintaining stac's relationships directly with a handful of state parties and ensuring they are fully leveraging stac's full suite of services. Qualifications - Strong data analytics skills: Knowledge of database technology, warehousing, and integration, with advanced training in data analytics and management. Proficiency in Microsoft Excel, CRMs, and SQL databases. - Experience working in a technical capacity: Experience in an organization's technical or data team with relevant project management systems, using Github, writing clean, commented code, and documenting technical processes. - Great communication skills: Ability to synthesize and explain complex data reports in layperson's terms, both verbally and in writing. Working knowledge of data visualization and reporting programs. - Strong self-organization skills: Proven ability to manage multiple projects simultaneously using well-documented processes. - Strong account management skills: Experience serving as a primary point of contact for external clients, managing relationships with professionalism and care. - Great collaboration skills: Ability to proactively seek solutions in coordination with team members and share feedback on work progress. - A positive attitude and the ability to work well under pressure: Experience in busy/high-pressure situations, especially during election seasons. - Proactive, creative problem solving: Good instincts for anticipating challenges and willingness to think creatively. - Ability to travel: Expected travel is no more than 10% for campaign planning and trainings. - Access to reliable, fast internet: Required for effective communication in a fully remote team. Requirements - Experience working with campaigns, state parties, the Democratic National Committee, or other electoral entities. - Experience with data warehouses, such as Google Big Query and DNC's Phoenix databases. - Experience utilizing data models. - Experience working with voter data and knowledge of VAN/Votebuilder. - Experience working in a fully remote team. - Experience as an account manager in a services organization. - Experience with agile development and project management. - Experience with mapping software, such as GIS, QGIS, or Mapbox. - Experience with data visualization tools, such as Hex, Data Studio, Periscope, or Tableau. - Experience using and troubleshooting relational organizing campaign apps, such as Hustle, Reach, Mobilize, etc. - Experience using Github and version control. - Proficient understanding of best practices around data security and managing sensitive voter data. - Experience writing clean, commented code or queries and documenting technical processes. - A desire to expand technical and political skills with support from organizational professional development. Benefits - Salary range: $94,000 - $124,000, depending on experience. - Comprehensive benefits package including healthcare, vision, dental, and 401k with a match. Company Description Stac Labs is a fully-remote, unionized, small and growing startup that values diversity in perspective, background, and life experiences. We aim to grow as a company that represents the inclusive values that power Democratic politics.

United States
$94K - $124K / year

Senior Health Data Informaticist - Compass Massachusetts - Boston Product Management & Alliances – Product Management & Alliances - NA / Full-Time / Remote Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role As a Senior Healthcare Data Informaticist, you will design, manage, and maintain all reference data assets in the Terminology Reference Library (TRL), including clinical, and claims-related coding standards. In this senior role, you will ensure high-quality, standardized, and actionable data to support therapeutic area frameworks and a comprehensive, reference data library. You will collaborate closely with data engineering, analytics, and product teams to deliver scalable, interoperable, and trusted healthcare data solutions. What You’ll Do - Curate, standardize, and validate medical and pharmacy claims data to ensure accuracy and usability across Compass products - Map drugs to indications and therapeutic areas using coding standards such as ICD-10, CPT/HCPCS, NDC, RxNorm, and ATC - Design, maintain, and document hierarchical structures, taxonomies, and vocabularies, including therapeutic area frameworks, diagnosis/procedure groupings - Develop business rules, validation routines, and clinical logic to support reliable analytics and product use - Lead data integration and modeling efforts, applying healthcare data standards for consistent, interoperable data assets - Troubleshoot complex data issues, ensuring data integrity, system reliability, and adherence to regulatory requirements (HIPAA) - Produce clear documentation (ERDs, flowcharts, sequence diagrams) to communicate processes and data solutions effectively - Translate complex clinical and payer data concepts into actionable insights for cross-functional teams and leadership - Mentor and guide junior team members to strengthen overall team capabilities. Requirements - Bachelor’s degree in Health Informatics, Biomedical Informatics, Pharmacy, Life Sciences, Public Health, or related field - 5+ years of hands-on experience with healthcare data systems, clinical vocabularies, coding systems, and payer data - Deep expertise in drug classification and coding systems (NDC, RxNorm, ATC) - Advanced knowledge of diagnostic and procedural code sets (ICD-10-CM, ICD-10-PCS, CPT, HCPCS) - Experience with payer data, including commercial and government payers, and a history of acting as a subject matter expert - Strong SQL skills and experience with data modeling, transformation, and aggregation on large healthcare datasets - Proven ability to design, maintain, and govern complex hierarchical structures (taxonomies, ontologies, clinical groupers) - Strong analytical and problem-solving skills, with the ability to resolve technical challenges in healthcare data systems - Excellent collaboration and communication skills, able to translate complex data concepts for technical and non-technical audiences - Familiarity with U.S. healthcare system structures, data standards, and payer mix concepts Nice to Have - Experience with terminology or ontology management tools (e.g., Apelon, SNOMED CT browsers, OHDSI/OMOP) - Familiarity with data governance platforms (e.g., Collibra, Informatica) and FAIR data principles - Background in pharmacy, clinical informatics, or health economics/market access analytics - Proficiency in scripting languages (Python, R, SAS) or other ETL/data manipulation tools Perks & Benefits - Medical, dental, vision, and basic life insurance - Flexible PTO and company paid holidays - Retirement programs - 1% charitable giving program Compensation - Base pay: $80,000 - $115,000 - The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

Massachusetts
$80K - $115K / year