Job 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 , which rolls up to the overall Data Governance Policy. Your focus will be on operationalizing the spirit of the rule to accelerate business value, not on process constraints.
• Data Classification and Metadata Stewardship: Responsible for Metadata management and Classification of all core data fields in the property domains. You will champion and contribute to this process to ensure data assets are Findable, Usable, Understandable, and Trustworthy in alignment with Cotality's enterprise goals.
• 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, acting as the subject matter expert to democratize governance functions across non-FTE roles in Product, Operations, and Data Science.

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, from critical production products to future exploratory needs. This includes:
• Partner with Client teams to translate feedback loops into systemic data fixes; lead the prioritization of root-cause improvements over manual patches to ensure long-term integrity and trust in Cotality's core assets.
• Partnering with Data Quality and Engineering teams to define and continually refine quality metrics and scorecards based on appraisal domain knowledge.
• Proactively driving action plans for appraisal data improvement based on quality scores, assessing urgency (e.g., KBE status), and recommending whether to adjust governance rules or the data itself.
• Strategically cataloging and classifying all appraisal data (including unused or exploratory data) based on its current and potential use in Cotality's products (e.g., Critical, Informative, Exploratory) to accelerate time-to-value.
• Data Feasibility and Product Advisory: Conduct in-depth analysis and research to advise Product, Data Science, and Engineering teams on the Fitness-for-Use of appraisal data assets. Specifically, you will recommend fields based on quality, fill rate, lineage, and other metadata to support critical use cases.
• 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 to ensure consistent semantic interpretation across all business units, data supply chains and consuming systems. You will act as the ontological arbiter.
• AI Readiness and Semantic Interpretation: Collaborate with key stakeholders to design the Clarification Layer within the semantic framework. This layer enables CoreAI and ML models to intelligently interrogate and interpret diverse data definitions, ensuring appraisal data is AI-Ready.

AI & Technology Enablement

• Operational AI Advocacy: Identify and advise on opportunities where AI and ML operations can be leveraged to enhance the internal appraisal data supply chain, improve data quality monitoring, and increase governance efficiency.
• Governance Platform Super User: Act as the primary feedback loop for the Data Governance Tool (e.g., Collibra). Define and mandate feature requirements to eliminate manual cataloging and curation tasks.
• Embedding Governance: Partner with Data Engineering and Technical Stewards to embed governance into the "native run of show" (e.g., championing Requirements as Code) to ensure automated data profiling, lineage capture, and cataloging of data assets in alignment with Enterprise Data Stewardship standards.

Job Qualifications:

• Business Acumen & Domain Mastery: 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.
• Data Governance & Analytical Practice: Proven experience in supporting data governance standards, policies, and operating models. Proficiency with Enterprise Data Governance platforms (e.g., Collibra) and metadata management.
• Critical Thinking & Negotiation: Exceptional communication, presentation, and negotiation skills. Ability to critically think about a problem and provide solutions that meet stakeholders' needs. Must act as an effective Arbiter and Liaison between technical teams, business leaders, and compliance stakeholders. Systemic thinking and the ability to translate technical output into clear business impact are essential.
• Bachelor's Degree preferred or equivalent work experience

Additional Skills Preferred

• AI Aptitude and Technical Literacy: Demonstrated hands-on experience as a core user of AI tools (e.g., LLMs, generative AI, advanced analytics) for personal productivity and process optimization. Strong understanding of AI/ML basics.
• Data Ontology and Taxonomy: Background in developing and implementing data ontologies for use in semantic layers.

#LI-Remote

Annual Pay Range:
77,700 - 110,000 USD

Application Window:

This opportunity is expected to remain posted through the date identified below, subject to business needs.

2026-07-09

Thrive with Cotality

At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.

Highlights, depending on role classification, include:

• Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
• Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
• Health: Multiple medical plan options with mental health and wellness support offerings.
• Retirement: 401(k) with company match and vesting after one year.
• Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
• Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range