Director, Data Products

What You Will Do

• Define and execute the firm’s data platform and BI strategy, translating business priorities into a multi-year roadmap.
• Lead delivery of data and BI platforms across business domains, balancing shared platform capacity and competing priorities.
• Establish operating model, team structure, and delivery standards across data engineering, analytics, and BI.
• Own data architecture and standards, including Snowflake, dbt, layered models, and semantic layer governance.
• Define and enforce data governance, security, and privacy controls (e.g., RBAC, PII masking, access policies).
• Lead development of governed semantic models and data products that support reporting and AI use cases.
• Define and oversee MCP data strategy and integration layer supporting AI products and agent-based workflows.
• Lead development of AI enablement patterns, including governed semantic views, verified queries, and agent quality controls.
• Lead data activation strategy, including reverse ETL and synchronization of models into CRM, marketing, and other downstream systems.
• Govern compute cost, performance, and consumption across analytics, BI, and AI workloads.
• Own CI/CD strategy and engineering standards for data, analytics, and AI (testing, deployment, observability).
• Define KPIs/OKRs and lead executive reporting on platform adoption, reliability, and value delivery.
• Build and develop a high-performing team, including mentoring and upskilling on modern data and AI capabilities.
• Support evaluation of data, analytics, and AI tools and vendors.

Who You Are

• Bachelor’s degree in a relevant field or equivalent experience.
• 10+ years of experience leading data, analytics, or engineering teams.
• 5+ years of experience with enterprise data platforms (e.g., Snowflake, dbt, pipelines, orchestration).
• 5+ years of experience leading BI platforms and analytics delivery.
• Strong SQL proficiency and working knowledge of Python.
• Knowledge of modern data platforms (Snowflake, dbt, pipelines, orchestration, BI tools).
• Knowledge of semantic modeling, dimensional modeling, and medallion/layered architecture.
• Knowledge of data governance, security, and privacy frameworks.
• Knowledge of data activation (reverse ETL) and downstream system integration.
• Knowledge of AI data enablement patterns (semantic models, MCP, agent observability).
• Ability to define strategy, architecture, and operating models for data platforms.
• Ability to lead cross-functional initiatives and influence senior stakeholders.
• Ability to manage tradeoffs across cost, performance, and delivery priorities.
• Strong communication and team leadership skills.

Benefits And More

• Health, dental, and vision insurance.
• Life and disability insurance.
• Retail & Savings Plan.
• Emergency back-up child and adult care.
• Paid vacation, sick time off, and holidays.
• Professional development and career advancement opportunities.
• Employee recognition and reward programs.
• Employee wellness and assistance programs.
• Employee discounts and perks.

Pay

The Target Salary Range For This Position Varies By Location And Is Commensurate With Relevant Experience: $220,000.00 -270,000.00