Director- Investment Data Product Management

MFS•Boston, MA

2d•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 an executable portfolio of work. As part of the Enterprise Data Leadership Team, the role works closely with the broader technology organization and enterprise business stakeholders to advance data transformation and turn strategic objectives into capabilities, priorities, and outcomes that teams can deliver. The position is the primary coordination and integration point across Investment Data technology and connects strategy with business outcomes, platform capabilities, and coordinated execution. The Director structures broad or ambiguous goals by defining desired end states, identifying and decomposing the work required, and sequencing it into a roadmap that delivers measurable value. The role combines technical fluency and attention to detail with product leadership, teamwork, and the ability to clarify business objectives and desired outcomes. It leads and develops a team of data product owners and promotes close collaboration among stakeholders and technology teams. MFS’s Enterprise Data Management Team aims to enable better decision-making, risk management, and transparency by providing dynamic, high-quality data and analytics to employees and clients. This is a hybrid position. Applicants must already be authorized to work full-time in the United States; the position is not eligible for sponsorship.

Requirements

15 or more 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 demonstrated 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 requirements for trusted enterprise data usable for AI and advanced analytics.
Proven ability to work across business, Product, Data, Architecture, and Engineering, building alignment and influencing outcomes across organizational boundaries.
Strong executive communication and stakeholder-management skills, including the ability to simplify complex issues, navigate competing perspectives, and communicate decisions and tradeoffs clearly and concisely.
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.
Must be 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.
An advanced degree, CFA, and/or relevant professional qualifications.
Experience with Snowflake, dbt, Microsoft Azure, or comparable enterprise data 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.
Define the bodies of work, capabilities, epics, dependencies, sequencing, and success measures needed to achieve strategic objectives and deliver sustainable data products.
Maintain alignment between strategic objectives, roadmap priorities, capacity constraints, and executable work.
Coordinate Investment Data technology initiatives and align priorities, dependencies, and delivery across teams.
Ensure delivery initiatives address governance obligations, data quality expectations, and stewardship responsibilities.
Build enterprise stakeholder relationships to understand objectives, workflows, pain points, and emerging data needs.
Translate stakeholder needs into desired outcomes, requirements, and practical definitions of success from the consumer’s perspective.
Support data product adoption and evolution by incorporating consumer feedback and product usage into priorities.
Communicate roadmaps, priorities, dependencies, risks, and decisions proactively to stakeholders, leadership, and the Enterprise Data Team.
Identify and escalate unresolved conflicts and material tradeoffs through appropriate leadership forums.
Engage technology leads, architects, engineers, and analysts early in discovery and planning to incorporate technical expertise, constraints, and opportunities into solution design.
Promote effective partnerships across product and delivery technology teams while balancing product direction with technical ownership and accountability.
Maintain agile and planning discipline while helping teams deliver scalable, well-governed data products.
Own and maintain an integrated, sequenced roadmap across data products and capabilities, balancing strategy, business requests, dependencies, capacity, risk, and architecture.
Facilitate prioritization and tradeoff decisions with the Enterprise Data Leadership Team and cross-functional teams.
Identify gaps, overlaps, conflicts, and dependency risks that could affect execution.
Define and track product lifecycle outcomes, 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 a team of data product owners, setting direction, providing regular feedback, and managing performance.
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 retirement account contribution equal to 15% of base salary, separate from the company-sponsored 401(k).
Education assistance: $100 monthly contribution directly to a loan provider, up to a $10,000 lifetime maximum.
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.
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 fitness benefit via Wellhub, and access to well-being apps.