Securities Services Client Data Exchange Product Development Vice President

What you'll do

• Lead the end-to-end product journey for a major institutional client's portfolio conversion.
• Act as the primary product contact to build relationships with client operational, technology, and middle office teams.
• Translate complex client requirements into actionable product deliverables and influence roadmap priorities.
• Own and drive the product vision and roadmap for Instruction Capture across multiple asset classes.
• Author scope documents and business requirements for lifecycle event capture across SWIFT, XML, FIX, and CSV formats.
• Implement product improvements to increase straight-through processing and reduce manual intervention.
• Integrate data strategy, governance, and AI capabilities in partnership with the Chief Data & Analytics Office.
• Apply AI-driven analytics to improve validation logic and enhance client data exchange intelligence.

What we're looking for

• Experience in product management or product ownership within financial services.
• Deep understanding of post-trade operations, including trade lifecycle, settlements, corporate actions, and asset servicing.
• Background in asset management or investment management operations supporting middle office functions.
• Proven experience managing large-scale client onboarding or conversion engagements.
• Ability to navigate and influence complex matrix organizations through expertise and relationships.
• Strong data analysis skills and working knowledge of AI, machine learning, and data analytics in financial services.
• Proficiency in Microsoft Excel, Visio, PowerPoint, and JIRA.
• Understanding of software development life cycle in agile and waterfall methodologies.
• Experience in Instruction Capture with familiarity across SWIFT, FIX, XML, and CSV formats (preferred).
• Hands-on exposure to AI tools, data platforms, or intelligent automation in financial services (preferred).
• Experience with derivatives lifecycle management or expert systems for instruction capture (preferred).
• Prior collaboration with a Chief Data & Analytics Office or equivalent data governance function (preferred).
• Additional professional certifications relevant to product management or data analytics (preferred).