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Cotality · 1 week ago

Senior Data Steward (Real Estate Property Data)

United States

Full-time

Remote

Senior Level

$90K/yr - $120K/yr

5+ years exp

Cotality is a company focused on making the property industry faster, smarter, and more people-centric. They are seeking a Senior Data Steward responsible for governing and unlocking the value of core property data assets while ensuring data is fit-for-use and meets governance standards.

Property InsuranceReal EstateSoftware

Responsibilities

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

Strategic Data Asset Readiness & Fit-for-Use: Champion the fitness-for-purpose of data assets for all business use cases, from critical production products to future exploratory needs. This includes:

Partnering with Data Quality and Engineering teams to define and continually refine quality metrics and scorecards based on domain knowledge

Proactively driving action plans for 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 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 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 core property 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 data is AI-Ready

Operational AI Advocacy: Identify and advise on opportunities where AI and ML operations can be leveraged to enhance the internal 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

Qualification

Data GovernanceProperty Data KnowledgeAI/ML UnderstandingCollibra ProficiencyData Ontology DevelopmentCritical ThinkingNegotiation SkillsCommunication Skills

Required

Intimate knowledge of property 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

Proficiency with Enterprise Data Governance platforms (e.g., Collibra) and metadata management

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

Preferred

Bachelor's Degree preferred or equivalent work experience

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

Background in developing and implementing data ontologies for use in semantic layers