Director, Data Products
Goodwin•Boston, MA
•$220,000 - $270,000
About The Position
The Director, Data Products leads the strategy, architecture, and delivery of the firm’s data platform, business intelligence, and data products ecosystem within Digital & Technology. Reporting to the Managing Director, Data Analytics, this role partners with business and technology stakeholders across Finance, People, Marketing & Communications, and other domains to translate business priorities into scalable, governed data, analytics, activation, and AI capabilities.
Requirements
- 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).
- Skill in defining 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.
Responsibilities
- 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.
- Establish patterns for AI enablement, 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.
Benefits
- Health, dental, and vision insurance
- Life and disability insurance
- Retirement & 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
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What This Job Offers
Job Type
Full-time
Career Level
Director
