Vice President, Data Management & Analytics

Cotality • San Diego, CA

1d • Remote

About The Position

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: Cotality is seeking a dynamic, visionary, and transformative leader to lead our Data Management and Analytics organization. The ideal candidate will be an inspirational and effective leader with a track record of setting and executing high-impact data strategies aligned with core business segments, client feedback, and our innovation agenda. Reporting directly to the Chief Data & Analytics Officer, this role serves as a key leader in the Data, Science & Analytics organization, accountable for market-leading quality and the responsible usage of data. This leader will drive the enterprise vision for data quality, model governance, stewardship, and business intelligence, overseeing a team of ~100 FTEs and significant vendor contracts to deliver on our strategy and drive competitive advantage. This role will have oversight of: Enterprise Data Sourcing Metrics-driven management of all public records data contracts and relationships Strategy, sourcing, data analysis and contracting with all proprietary & 3rd party data suppliers Coherent strategy to ensure rational and optimal data contracts for expanded enterprise usage Data Quality Design & Operations of enterprise Data Quality monitoring and remediation Resolution of customer and internal stakeholder data quality issues Development of data quality improvement programs for critical data content and engage peers to have them implemented Development of Data Quality team skills, AI adoption and maturity Evangelize Cotality Data Quality processes and metrics with internal and external clients and stakeholders SLA adherence for data remediation Data & Model Governance Develop, maintain and utilize Data & Model Governance processes and tools in support of business outcomes Create responsible transparency and access to data & analytics, sharing how our assets can be responsibly leveraged directly in solutions and in model development Govern content to ensure compliance with all relevant regulations, contracts, and audit requirements Partner with peers across the company to ensure and protect IP in our data assets Data Stewardship Ensure all content emerges from data supply chain fit-for-purpose, across all assets Manage metadata & master data to enhance the product roadmap, including AI -readiness Business rules/logic that guide content output, quality rules are defined and documented Center of excellence for stewarding data across Cotality Analytics & Business Intelligence Oversee model surveillance program for Cotality’s 200+ in-production and in-development market-facing models Maintain timely transparency into KPIs across supply chains and DS&A processes Continuously identify systematic improvements in processes and models quality Business Engagement Collaborate with Cotality business segments—including Data, Mortgage, Real Estate, and Insurance Solutions—to translate business strategy into actionable data growth objectives. Champion enterprise data storytelling and quality to establish competitive differentiation, sourcing and enabling data assets that support new partnerships. Peer Engagement Partner with: Data Science to develop enrichment strategies, Engineering & Data Operations to implement new ways of enriching content, Business Segments for short- and long-term growth opportunities, Legal & Compliance, and various data consumers to ensure data is fit for intended use. Additionally, the ideal candidate will: Define policy, process, controls, metrics/KPIs to meet business objectives Work with both Operations and Technology to justify and implement improved data management processes Monitor, measure and report on data quality and SLA performance Provide thought leadership on data management Own financial decision rights on business rules, data usage, model quality and communicate to stakeholders Recruit, develop and grow a strong talent pipeline of data management professionals

Requirements

• Bachelor's degree in data, technology, business-related field or equivalent experience
• 10+ years of experience in various areas of analytics or data management including data governance, business analytics, data science, policy, data analysis, data quality and data content management
• Reference data, master data, data modeling, and data analytical knowledge strongly desired
• Strategic Vision & Influence Ability to define and execute enterprise-wide data strategy aligned with business goals. Skilled at influencing senior stakeholders and driving cross-functional alignment.
• Change Leadership Proven capability to lead large-scale transformation in data governance and analytics. Comfort with ambiguity and ability to evangelize new processes and tools.
• Collaboration & Relationship Building Strong partnership skills across business segments, technology, legal, and compliance. Ability to manage vendor relationships and negotiate complex contracts.
• Decision-Making & Accountability Ownership of critical decisions on data usage, governance, and model quality. Ability to balance risk, compliance, and innovation.
• Talent Leadership “Leader of leaders” mindset—developing high-performing teams and succession pipelines. Coaching and mentoring for technical and leadership growth.
• Communication & Storytelling Ability to articulate the enterprise data story and value proposition to internal and external audiences. Skilled in translating technical concepts into business impact.
• Enterprise Data Leadership Led large-scale data management or analytics organizations (100+ FTE). Experience with multi-million-dollar vendor contracts and sourcing strategies.
• Data Governance & Quality Hands-on experience implementing data governance frameworks and quality programs. Familiarity with regulatory compliance and audit requirements.
• Technology & Tools Expertise in data management platforms (Collibra, Tableau, metadata/master data tools). Exposure to AI-readiness and model surveillance programs.
• Cross-Functional Influence Proven track record of partnering with business units, legal, compliance, and engineering. Experience driving cultural change around data usage and stewardship.
• Strategic Program Delivery Delivered measurable improvements in data quality and analytics maturity. Defined and executed enterprise data strategy aligned with business objectives.

Responsibilities

• Enterprise Data Sourcing Metrics-driven management of all public records data contracts and relationships
• Strategy, sourcing, data analysis and contracting with all proprietary & 3rd party data suppliers
• Coherent strategy to ensure rational and optimal data contracts for expanded enterprise usage
• Data Quality Design & Operations of enterprise Data Quality monitoring and remediation
• Resolution of customer and internal stakeholder data quality issues
• Development of data quality improvement programs for critical data content and engage peers to have them implemented
• Development of Data Quality team skills, AI adoption and maturity
• Evangelize Cotality Data Quality processes and metrics with internal and external clients and stakeholders
• SLA adherence for data remediation
• Data & Model Governance Develop, maintain and utilize Data & Model Governance processes and tools in support of business outcomes
• Create responsible transparency and access to data & analytics, sharing how our assets can be responsibly leveraged directly in solutions and in model development
• Govern content to ensure compliance with all relevant regulations, contracts, and audit requirements
• Partner with peers across the company to ensure and protect IP in our data assets
• Data Stewardship Ensure all content emerges from data supply chain fit-for-purpose, across all assets
• Manage metadata & master data to enhance the product roadmap, including AI -readiness
• Business rules/logic that guide content output, quality rules are defined and documented
• Center of excellence for stewarding data across Cotality
• Analytics & Business Intelligence Oversee model surveillance program for Cotality’s 200+ in-production and in-development market-facing models
• Maintain timely transparency into KPIs across supply chains and DS&A processes
• Continuously identify systematic improvements in processes and models quality
• Business Engagement Collaborate with Cotality business segments—including Data, Mortgage, Real Estate, and Insurance Solutions—to translate business strategy into actionable data growth objectives.
• Champion enterprise data storytelling and quality to establish competitive differentiation, sourcing and enabling data assets that support new partnerships.
• Peer Engagement Partner with: Data Science to develop enrichment strategies, Engineering & Data Operations to implement new ways of enriching content, Business Segments for short- and long-term growth opportunities, Legal & Compliance, and various data consumers to ensure data is fit for intended use.
• Define policy, process, controls, metrics/KPIs to meet business objectives
• Work with both Operations and Technology to justify and implement improved data management processes
• Monitor, measure and report on data quality and SLA performance
• Provide thought leadership on data management
• Own financial decision rights on business rules, data usage, model quality and communicate to stakeholders
• Recruit, develop and grow a strong talent pipeline of data management professionals

Benefits

• 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!

What This Job Offers

• Job Type: Full-time
• Career Level: Executive