Senior Manager of Data Products
Ropes & Gray LLPAbout the role
About Ropes & Gray
Ropes & Gray is a preeminent global law firm. The firm has been ranked in the top three on The American Lawyer's prestigious A-List for eight consecutive years and #1 on Law.com's UK A-List twice in the past three years - rankings that honor the "best of the best" law firms. The firm has approximately 2,500 lawyers and professionals serving clients in major centers of business, finance, technology, and government in Boston, Chicago, Dublin, Hong Kong, London, Los Angeles, New York, Paris, San Francisco, Seoul, Shanghai, Silicon Valley, Singapore, Tokyo and Washington, D.C.The firm has consistently been recognized for its leading practices in many areas, including asset management, private equity, M&A, finance, real estate, tax, antitrust, life sciences, health care, intellectual property, litigation & enforcement, privacy & cybersecurity, and business restructuring. Ropes & Gray is an equal opportunity employer.
Overview
The Senior Manager of Data Products is a strategic leader responsible for shaping, influencing, and delivering enterprise-wide data assets that drive business operations, strategic initiatives, and self-service analytics. This role serves as a key bridge between enterprise data strategy and operational execution, ensuring that the data product team delivers high-impact solutions aligned with business priorities
The Senior Manager demonstrates an ownership mentality and leads with accountability, driving transformational project outcomes and fostering a culture of excellence, strategic thinking, and proactive planning. This leader maintains visibility across all initiatives, optimizes resource usage, and develops a deep understanding of the business to align efforts accordingly. The Senior Manager mentors and develops future leaders, empowering a high-performing team of analytics engineers and developers while influencing cross-functional teams to deliver high-impact, scalable solutions aligned with business priorities.
Responsibilities
- Provide strategic leadership and vision for the design, implementation, and evolution of enterprise data products, including curated datasets, semantic layers, and stewardship tools that support trusted data use across the organization.
- Own and communicate a multi-year data product vision and roadmap in partnership with executive stakeholders, ensuring alignment with enterprise goals and processes.
- Establish and manage transparent intake and prioritization processes for data product requests, proactively balancing scope, resources, and timelines across multiple teams.
- Drive effective project execution and triage, ensuring timely resolution of blockers, consistent follow-through, and successful delivery of data solutions at scale.
- Champion modern data development practices (e.g., dbt, CI/CD, version control, metadata-driven pipelines) to increase efficiency, quality, and adoption of data products.
- Promote and enforce strong adherence to data governance principles, including definitions, quality standards, and lineage tracking, across the enterprise.
- Cultivate a culture of critical thinking, realistic planning, and risk-awareness, enabling teams to anticipate challenges and adapt effectively.
- Mentor, coach, and develop future leaders by investing in their growth, encouraging ownership, and providing opportunities for leadership and development across teams.
- Escalate resource constraints or competing priorities early, and strategically manage time, talent, and tooling to maintain momentum and quality across the enterprise.
- Lead change management efforts to drive adoption of data products and governance practices throughout the organization.
- Collaborate continuously with governance, BI, and data infrastructure teams to improve discoverability, usability, and trust in enterprise data products.
- Present and communicate data product strategy, progress, and impact to executive leadership and other senior stakeholders.
Qualifications
EDUCATION, EXPERIENCE, AND SKILLS REQUIRED:
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field; advanced degree preferred.
- 10+ years of experience in data analytics, data modeling, or business intelligence environments.
- 6+ years of experience in a management or team lead role with demonstrated ownership of data products or platforms, including cross-functional leadership.
- Proven track record of delivering scalable data products in both on-prem and cloud-based environments, with enterprise-level impact.
- Hands-on expertise in SQL, dbt, and analytics tooling; experience with agile methodologies and product lifecycle management.
- Exceptional communication and negotiation skills, with experience ali
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