Senior Product Manager - Data Platform (Asset Management)

Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. Overview We are seeking a Manager‑level Product professional to help scale a growing data and analytics platform supporting asset and investment management clients. This role sits at the intersection of product, data engineering, and client delivery, with a strong focus on requirements clarity, stakeholder partnership, and data‑driven decision making. You will work alongside a rapidly scaling team — including data engineers, analytics partners, and client stakeholders — helping translate business needs into clear, actionable product and data requirements. This is a Boston‑based role with a strong onsite client presence. Responsibilities Product & Domain Partnership Lead requirements elicitation and discovery sessions with business, operations, and client stakeholders across asset and investment management Translate business needs into clear user stories, acceptance criteria, and functional requirements Partner closely with data engineering and analytics teams to ensure requirements are well‑understood and executable Act as a client‑facing product representative, able to communicate confidently with both technical and non‑technical audiences Support conversations around foundational investment concepts, and should have broad knowledge of: Instrument types (Equity, Fixed Income, Derivatives) Corporate actions Trade lifecycle and trader workflows Portfolio Construction workflow Accounting Agile Delivery & Team Collaboration Own and groom the product backlog in close partnership with delivery leads Facilitate or actively participate in agile ceremonies including sprint planning, backlog refinement, and retrospectives Coordinate work across multiple teams (data engineering, QA, analytics) Track dependencies, risks, and progress — communicating clearly with stakeholders and leadership Operate with a self‑directed mindset — comfortable driving work forward without heavy oversight Data & Technical Collaboration Write and review SQL queries for data validation, reconciliation, and analysis (hands‑on expectation) Partner with engineers on Python‑based workflows for data pipelines and analytics use cases Contribute to or review BI dashboards and visualizations (Power BI) Direct experience is helpful Willingness to ramp quickly is essential Work within modern cloud data platforms, with current focus on Microsoft Fabric Qualifications Required Qualifications 5+ years of experience in Product Management, Business Analysis, or similar roles within asset management or financial services Strong understanding of investment management workflows across front, middle, and back office Comfortable with breadth over depth — able to discuss investment concepts clearly without needing deep specialization in one niche Proven strength in requirements gathering, stakeholder management, and client‑facing communication Strong SQL skills with expectation of hands‑on query writing Working knowledge of Python Experience participating in agile product or delivery environments Highly collaborative, organized, and able to work across multiple teams simultaneously Preferred (Nice to Have) Experience with Microsoft Fabric, Azure, Databricks, Snowflake, or similar cloud data platforms BI tools such as Power BI or Tableau Exposure to AI‑enabled tooling or data products Familiarity with agile tools like JIRA or Azure DevOps Prior experience supporting or delivering for asset managers Set Yourself Apart Strong client instincts and ability to build trust quickly Clear, structured thinking — especially in ambiguous problem spaces Comfort working in data‑heavy, fast‑moving environments Intellectual curiosity about markets, data, and technology Ownership mindset and proactive communication Additional information Pay Range: $134,000-$201,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work. Benefits of Working Here: Flexible vacation policy; time is not limited, allocated, or accrued 16 paid holidays throughout the year Generous parental leave and new parent transition program Tuition reimbursement Corporate gift matching program As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] or you may call us at +1-617-621-0200.

Required Qualifications 5+ years of experience in Product Management, Business Analysis, or similar roles within asset management or financial services Strong understanding of investment management workflows across front, middle, and back office Comfortable with breadth over depth — able to discuss investment concepts clearly without needing deep specialization in one niche Proven strength in requirements gathering, stakeholder management, and client‑facing communication Strong SQL skills with expectation of hands‑on query writing Working knowledge of Python Experience participating in agile product or delivery environments Highly collaborative, organized, and able to work across multiple teams simultaneously Preferred (Nice to Have) Experience with Microsoft Fabric, Azure, Databricks, Snowflake, or similar cloud data platforms BI tools such as Power BI or Tableau Exposure to AI‑enabled tooling or data products Familiarity with agile tools like JIRA or Azure DevOps Prior experience supporting or delivering for asset managers Set Yourself Apart Strong client instincts and ability to build trust quickly Clear, structured thinking — especially in ambiguous problem spaces Comfort working in data‑heavy, fast‑moving environments Intellectual curiosity about markets, data, and technology Ownership mindset and proactive communication

Product & Domain Partnership Lead requirements elicitation and discovery sessions with business, operations, and client stakeholders across asset and investment management Translate business needs into clear user stories, acceptance criteria, and functional requirements Partner closely with data engineering and analytics teams to ensure requirements are well‑understood and executable Act as a client‑facing product representative, able to communicate confidently with both technical and non‑technical audiences Support conversations around foundational investment concepts, and should have broad knowledge of: Instrument types (Equity, Fixed Income, Derivatives) Corporate actions Trade lifecycle and trader workflows Portfolio Construction workflow Accounting Agile Delivery & Team Collaboration Own and groom the product backlog in close partnership with delivery leads Facilitate or actively participate in agile ceremonies including sprint planning, backlog refinement, and retrospectives Coordinate work across multiple teams (data engineering, QA, analytics) Track dependencies, risks, and progress — communicating clearly with stakeholders and leadership Operate with a self‑directed mindset — comfortable driving work forward without heavy oversight Data & Technical Collaboration Write and review SQL queries for data validation, reconciliation, and analysis (hands‑on expectation) Partner with engineers on Python‑based workflows for data pipelines and analytics use cases Contribute to or review BI dashboards and visualizations (Power BI) Direct experience is helpful Willingness to ramp quickly is essential Work within modern cloud data platforms, with current focus on Microsoft Fabric