Director- Investment Data Product Management

MFS Investment Management•Boston, MA
•$159,500 - $240,000•Hybrid

About The Position

The Director, Product Management serves as the Chief Product Owner for Investment Data, translating MFS’s investment data technology strategy into an integrated roadmap and executable portfolio of work. As part of the Enterprise Data Leadership Team and in partnership with technology and enterprise business stakeholders, the role advances data transformation by converting strategic investment data objectives into defined capabilities, priorities, and outcomes. The Chief Product Owner is the primary coordination and integration point across Investment Data technology and connects strategy with business outcomes, platform capabilities, and coordinated delivery. The role structures broad or ambiguous goals by defining the desired end state, decomposing the work, and sequencing it into a roadmap that delivers measurable value. It also provides product leadership, leads and develops a team of data product owners, and fosters collaboration among stakeholders and technology teams. MFS describes its work environment as hybrid (remote/onsite). Applicants must be currently authorized to work in the United States on a full-time basis; the position is not eligible for sponsorship.

Requirements

  • 15+ years of experience within asset management, financial services, or another data-intensive and highly regulated industry is strongly preferred.
  • Bachelor’s degree or equivalent experience required.
  • Significant experience leading data products, enterprise data platforms, or technology-enabled transformation in a complex organization.
  • Strong product management and agile delivery experience, with success operating at both strategic and execution levels.
  • Demonstrated experience directly managing, coaching, and developing Product Owners, Product Managers, or similar professionals, including setting performance expectations, providing feedback, and building high-performing teams.
  • Strong technical fluency and ability to develop deep subject-matter expertise in enterprise data platforms, models, and tools.
  • Strong understanding of modern data engineering, governance, quality, lineage, APIs, analytics, and the requirements for making enterprise data trusted and usable for AI and advanced analytics.
  • Ability to work effectively across business, Product, Data, Architecture, and Engineering, building alignment and influencing outcomes across organizational boundaries.
  • Strong executive communication and stakeholder-management skills, including simplifying complex issues, navigating competing perspectives, and communicating decisions and tradeoffs clearly.
  • High emotional intelligence, collaborative leadership style, and resilience in ambiguous or changing environments.
  • Demonstrated ability to build trust, develop talent, delegate effectively, and create an environment where team members exercise ownership, judgment, and accountability.
  • Currently authorized to work in the United States on a full-time basis; sponsorship is not available.

Nice To Haves

  • Strong familiarity with investment management data, including security and issuer data, holdings, transactions, benchmarks, market data, performance, risk, analytics, and client data.
  • Advanced degree, CFA, and/or relevant professional qualifications.
  • Experience with Snowflake, dbt, Microsoft Azure, or comparable enterprise data platform technologies.
  • Familiarity with relevant governance, analytics, and delivery platforms.

Responsibilities

  • Partner with the Head of Data to translate data strategy, priorities, and target capabilities into a clear multi-year roadmap.
  • Structure broad objectives into major bodies of work, capabilities, epics, dependencies, sequencing, and measures of success.
  • Connect strategic objectives and roadmap priorities with capacity constraints and executable work.
  • Coordinate cross-functional Investment Data technology initiatives, aligning priorities, dependencies, and delivery efforts.
  • Ensure delivery initiatives reflect governance obligations, data quality expectations, and stewardship responsibilities.
  • Build stakeholder relationships to understand enterprise objectives, workflows, pain points, and emerging data needs.
  • Translate stakeholder needs into desired outcomes, requirements, and practical definitions of success.
  • Support data product adoption and evolution by incorporating consumer feedback and usage into priorities.
  • Communicate roadmaps, priorities, dependencies, risks, and decisions to stakeholders, leadership, and the Enterprise Data Team; identify and escalate unresolved conflicts and material tradeoffs.
  • Engage technology leads, architects, engineers, and analysts early in product discovery and planning.
  • Foster partnership across product and delivery technology teams while balancing product direction with technical ownership and accountability.
  • Maintain agile and planning discipline while helping deliver scalable, well-governed data products.
  • Own and maintain an integrated, sequenced roadmap across data products and capabilities, balancing strategy, requests, dependencies, capacity, risk, and architecture.
  • Facilitate prioritization and tradeoff decisions with the Enterprise Data Leadership team and cross-functional teams; surface gaps, overlaps, conflicts, and dependency risks.
  • Define and track outcomes across the product lifecycle, including business impact, adoption, usability, data quality, reliability, timeliness, and operational efficiency.
  • Communicate roadmaps, risks, dependencies, decisions, and progress clearly to senior leaders, business stakeholders, and technical teams.
  • Lead with sound judgment and emotional intelligence when navigating ambiguity, changing priorities, delivery challenges, feedback, and differing viewpoints.
  • Lead, coach, and develop data product owners, providing direction, feedback, and performance management.
  • Foster accountability, collaboration, continuous improvement, and shared ownership across Product, Data, Architecture, Engineering, and business teams.

Benefits

  • Competitive incentive bonus based on individual and company performance.
  • MFS contributes an amount equal to 15% of base salary to a retirement account separate from the company-sponsored 401(k).
  • Education assistance of $100 monthly, up to a $10,000 lifetime maximum, paid directly to the loan provider.
  • Tuition reimbursement up to $8,000 annually.
  • Access to discounted tutors and college coaches.
  • Generous time off and fully paid leaves, including 20 weeks for maternity leave and 12 weeks for parental and caregiver leaves.
  • Choice of medical and dental plans and an employer contribution to a Health Savings Account.
  • Tax-deferred commuter benefits and flexible spending accounts for medical and dependent care.
  • Wellness programs, including wellness webinars, an employee assistance program focused on mental health, a subsidized Wellhub fitness benefit, virtual personal training, and well-being apps.
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