Join Goodwin’s Global Operations Team, and make a real impact on a global scale. At Goodwin, we work with some of the world’s most successful and innovative investors, entrepreneurs and disruptors in the life sciences, private equity, real estate, technology and financial industries, and where they converge. As part of the Global Operations Team – all business professionals at the firm – you’ll collaborate with colleagues from varied backgrounds and experiences, fostering an environment where cross-functional learning, networking, and collaboration are at the core of what we do.
Here, we’re not just supporting a law firm; we’re partnering with attorneys and clients to deliver cutting-edge solutions in high-stakes litigation and dispute resolution, world-class regulatory compliance and advisory services, and complex transactions. Our commitment to integrity, ingenuity, agility, and ambition drives us, and we’re proud to have been recognised as the “Best Business Team” by The American Lawyer.
This is your opportunity to grow professionally in a dynamic, global environment, surrounded by forward-thinking peers.
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.
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.
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.
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).
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.
#LI-MS1
Benefits and More
At Goodwin, you will discover your next career opportunity with a rewarding compensation package and comprehensive benefits, including:
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
Skills Required
- 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 (e.g., RBAC, PII masking, access policies).
- Knowledge of data activation (reverse ETL) and downstream system integration (CRM, marketing systems).
- 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.
Goodwin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goodwin and has not been reviewed or approved by Goodwin.
-
Strong & Reliable Incentives — Bonuses are described as market-matching with defined eligibility thresholds, and certain credits (such as pro bono, innovation, and training) can count toward targets.
-
Parental & Family Support — Family-forming support via Carrot, generous paid parental leave, and subsidized backup child and elder care are highlighted as meaningful parts of the package.
-
Healthcare Strength — Core medical, dental, and vision coverage through well-known carriers is supplemented by access tools and mental-health resources such as One Medical, Headspace, and an EAP.
Goodwin Insights
What We Do
We are in the business of building authentic, long-term relationships with our clients, who are some of the world’s most successful and innovative investors, entrepreneurs and disruptors at the convergence of and within the life sciences, private equity, real estate, technology, and financial industries. To learn more, visit us at www.goodwinlaw.com and follow us on Twitter at @goodwinlaw and Instagram at @join_goodwin. Office locations - Boston, New York, Washington, D.C., San Francisco, Silicon Valley, Los Angeles, Santa Monica, London, Cambridge, Paris, Luxembourg, Frankfurt, Hong Kong, Munich and Philadelphia *Attorney Advertising
.jpg)
