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 As a Senior Product Manager, you will work closely with business and technology stakeholders to lead end-to-end requirements and support agile delivery across asset management platforms. This role blends deep domain analysis, data fluency, and hands-on execution, translating complex investment and operational workflows into actionable user stories and driving cross-functional delivery. Responsibilities Business & Domain Analysis Lead requirements elicitation sessions with business and operations across front to back office teams in asset management with special focus on investment performance calculations, attribution, portfolio and benchmark data Translate complex asset management business processes into user stories, acceptance criteria, and functional specifications Map current-state and future-state workflows across front, middle, and back office operations, identifying gaps and optimization opportunities Agile Delivery & Part-Time PM (20–40%) Facilitate agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog refinement Own and groom the product backlog in partnership with the Product Owner — stories well-defined, estimated, and prioritized Track sprint velocity, manage dependencies, and communicate delivery status to stakeholders and leadership Coordinate cross-functional delivery across data engineering, analytics, and QA workstreams Technical & Data Collaboration Write and maintain SQL queries for data validation, reconciliation, and ad hoc analysis supporting performance and benchmark data pipelines Build BI visualizations, preferably using Power BI, to drive decision-making and executive readouts Support adoption of AI-augmented practices across the SDLC — from AI-assisted requirements drafting and test case generation to automated documentation and delivery acceleration Qualifications Required Qualifications 5 years as a Business Systems Analyst or equivalent role within asset management or financial services Strong understanding of front, middle, and back office operations — trade lifecycle, portfolio accounting, investment performance, reconciliation, client reporting Working knowledge of financial instruments and products (equities, fixed income, derivatives, alternatives, ETFs, mutual funds) Demonstrated ability to independently drive requirements gathering, stakeholder workshops, and documentation with minimal supervision Experience facilitating agile ceremonies and performing planning/coordination in a Scrum or Kanban environment Proficiency in SQL for querying, data validation, and analytical support Awareness of how AI and automation tools (e.g., GitHub Copilot, LLM-based assistants, AI test generation) are transforming the SDLC, with willingness to champion adoption Preferred Qualifications CFA charterholder or progress toward CFA designation (Level I, II, or III candidate); CIPM, CAIA, or equivalent certifications also valued Understanding of investment performance measurement (TWR, MWR, attribution analysis, benchmark construction) and risk measures (VaR, tracking error, Sharpe ratio) Experience with Power BI for dashboard development or data visualization Working knowledge of Python for scripting, data manipulation, or automation Familiarity with cloud data platforms such as Microsoft Fabric, Azure Synapse, Snowflake, or Databricks Experience with JIRA, Azure DevOps, or equivalent agile planning tools What We Value Self-starter mindset - you take ownership, anticipate needs, and drive work forward without being asked Intellectual curiosity about markets, instruments, and the investment management value chain Strong communication skills bridging technical teams and business stakeholders Forward-looking perspective on AI in the SDLC - not just awareness, but enthusiasm for experimenting with and integrating AI tools into planning, requirements, testing, and delivery Collaborative spirit with a bias toward clarity, transparency, and continuous improvement Additional information Pay Range: $123,000-$184,000 An inclusive workplace that promotes diversity and collaboration. Access to ongoing learning and development opportunities. Competitive compensation and benefits package. Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance. 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 hiring@publicis.sapient.com

As a Senior Product Manager, you will work closely with business and technology stakeholders to lead end-to-end requirements and support agile delivery across asset management platforms. This role blends deep domain analysis, data fluency, and hands-on execution, translating complex investment and operational workflows into actionable user stories and driving cross-functional delivery. Responsibilities Business & Domain Analysis Lead requirements elicitation sessions with business and operations across front to back office teams in asset management with special focus on investment performance calculations, attribution, portfolio and benchmark data Translate complex asset management business processes into user stories, acceptance criteria, and functional specifications Map current-state and future-state workflows across front, middle, and back office operations, identifying gaps and optimization opportunities Agile Delivery & Part-Time PM (20–40%) Facilitate agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog refinement Own and groom the product backlog in partnership with the Product Owner — stories well-defined, estimated, and prioritized Track sprint velocity, manage dependencies, and communicate delivery status to stakeholders and leadership Coordinate cross-functional delivery across data engineering, analytics, and QA workstreams Technical & Data Collaboration Write and maintain SQL queries for data validation, reconciliation, and ad hoc analysis supporting performance and benchmark data pipelines Build BI visualizations, preferably using Power BI, to drive decision-making and executive readouts Support adoption of AI-augmented practices across the SDLC — from AI-assisted requirements drafting and test case generation to automated documentation and delivery acceleration Qualifications Required Qualifications 5 years as a Business Systems Analyst or equivalent role within asset management or financial services Strong understanding of front, middle, and back office operations — trade lifecycle, portfolio accounting, investment performance, reconciliation, client reporting Working knowledge of financial instruments and products (equities, fixed income, derivatives, alternatives, ET - Fs, mutual funds) Demonstrated ability to independently drive requirements gathering, stakeholder workshops, and documentation with minimal supervision Experience facilitating agile ceremonies and performing planning/coordination in a Scrum or Kanban environment Proficiency in SQL for querying, data validation, and analytical support Awareness of how AI and automation tools (e.g., GitHub Copilot, LLM-based assistants, AI test generation) are transforming the SDLC, with willingness to champion adoption Preferred Qualifications CFA charterholder or progress toward CFA designation (Level I, II, or III candidate); CIPM, CAIA, or equivalent certifications also valued Understanding of investment performance measurement (TWR, MWR, attribution analysis, benchmark construction) and risk measures (Va. R, tracking error, Sharpe ratio) Experience with Power BI for dashboard development or data visualization Working knowledge of Python for scripting, data manipulation, or automation Familiarity with cloud data platforms such as Microsoft Fabric, Azure Synapse, Snowflake, or Databricks Experience with JIRA, Azure DevOps, or equivalent agile planning tools What We Value Self-starter mindset - you take ownership, anticipate needs, and drive work forward without being asked Intellectual curiosity about markets, instruments, and the investment management value chain Strong communication skills bridging technical teams and business stakeholders Forward-looking perspective on AI in the SDLC - not just awareness, but enthusiasm for experimenting with and integrating AI tools into planning, requirements, testing, and delivery Collaborative spirit with a bias toward clarity, transparency, and continuous improvement

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