You are a strategic thinker passionate about driving solutions in sustainable investing product management. You have found the right team.

As a Sustainable Investing & Stewardship Product Manager within our Investment Platform Product team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment. You will define the product vision and strategy for sustainable investing, stewardship, and proxy voting, translating user needs into clear user stories and specifications. You will lead delivery across research, data, and platform teams, drive training and adoption, run product cabinets and agile ceremonies, and maintain a transparent roadmap and backlog.

Job Responsibilities

• Define product vision and strategy for sustainable investing, stewardship, and proxy voting.
• Translate user needs into concise user stories and functional specifications.
• Lead implementation across research, data, and platform teams.
• Drive post-release training, adoption, and change management.
• Facilitate product cabinets and agile ceremonies (planning, refinement, retrospectives).
• Maintain and prioritize a transparent product roadmap and backlog.
• Develop prototype analytics in Python, SQL, or R and guide technology delivery.
• Track and report KPIs on product adoption and business impact.
• Partner with the CDO and ESG data vendors to shape global data strategy and solutions.
• Research market and competition to identify AI opportunities in asset management.
• Align stakeholders, gather feedback, and deliver against milestones.

Required qualifications, capabilities and skills

• Atleast 4 years of experience in financial services , wealth or asset management.
• Prior product management experience with strong Agile principles and tools (e.g., Jira).
• Knowledge of financial products and investment management processes across asset classes.
• Proven problem-solving and complex decision-making skills.
• Ability to influence senior stakeholders and align on vision and roadmap.
• Demonstrated ability to build strong partnerships with business, operations, technology, and data vendors.
• Strong communication, documentation, and organization skills.

Preferred qualifications, capabilities and skills

• Domain knowledge of stewardship and proxy voting; familiarity with ESG and corporate governance data/providers (e.g., MSCI, Bloomberg, S&P Global).
• Hands-on coding for analytics and data manipulation (Python, SQL, R) to prototype and design solutions.
• Data analysis via Python and/or Alteryx; data visualization via Tableau.
• Experience with AI technologies, including Generative AI and LLMs, in financial services.