Vice President Asset Management - Account Management Services Product Owner

You are a strategic thinker passionate about driving solutions in “Data Product Ownership, AI Automation, and Data Quality Engineering”. You have found the right team.

As “Data Product Ownership, AI Automation, and Data Quality Engineering Professional / Lead” within our “Asset & Wealth Management – MPX Account Management Services (Account SOR)” , you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.

Job Responsibilities

• Lead the Operate function for Account Management Services by owning day-to-day product stability, service delivery, and BAU point-of-contact coverage.
• Partner with stakeholders across Operations, Technology, and Service Management to triage, prioritize, and resolve tickets, incidents, defects, and urgent ad-hoc requests with clear SLAs and communications.
• Translate recurring BAU issues and user feedback into product enhancements by defining requirements, acceptance criteria, and release plans to improve user/client experience.
• Establish operating rhythms and performance metrics (e.g., ticket trends, root-cause themes, time-to-resolution) to drive continuous improvement and proactive risk/controls management.
• Define crisp problem statements, use cases, user journeys, success metrics, and acceptance criteria from complex requirements to enable fast, rigorous delivery.
• Drive the modernization roadmap across platform evolution, user experience improvements, and scalable operational processes.
• Identify AI and Agentic AI opportunities that increase straight-through processing and data quality with safe, explainable, and governable designs.
• Partner across Business, Operations, Technology, and Controls to remove blockers, force decisions, and accelerate delivery outcomes.
• Sequence work across teams, platforms, and release trains to manage dependencies and deliver predictable, high-quality releases.
• Stand up delivery and outcome metrics (quality, timeliness, adoption, STP lift, defect reduction, cycle time) to continuously reshape priorities and the roadmap.
• Own the product vision, roadmap, and execution for mission-critical data services powering onboarding, reporting, operational workflows, and investment processes.

Required qualifications, capabilities and skills

• Demonstrate a proven track record as a Product Owner, Product Manager, or Delivery Lead for data products, platforms, or critical enterprise services (ideally in a major financial institution).
• Bring a minimum of 10 years of Financial Services experience blending data, technology, and operations with Asset & Wealth Management data concepts.
• Deliver effectively in agile environments with backlog discipline, pragmatic scope control, and outcome-based execution.
• Work hands-on with SQL and Python to navigate large datasets, validate hypotheses, investigate issues, and partner credibly with engineering and analytics.
• Apply practical fluency with AI and Agentic AI for data products (e.g., reconciliations, anomaly detection, triage, metadata enrichment, exception handling, workflow orchestration) while evaluating value, risk, scalability, and controls.
• Influence stakeholders at every level with sharp written and verbal communication suitable for governance forums and senior leadership.
• Hold a minimum of a Bachelor’s Degree in Computer Science, Math, Statistics, or a related field.

Preferred qualifications, capabilities and skills

• Bring Asset Management experience with onboarding and servicing.
• Use foundational AI/developer tooling such as VS Code and GitHub Copilot within a modern engineering environment.
• Show familiarity with data-quality tooling, metadata platforms, lineage frameworks, and modern data platforms (lakehouse/warehouse patterns, distributed processing, APIs, and data services).
• Earn product management certifications such as CSPO or PSPO (preferred).
• Hold a Master’s degree in engineering or computer science and demonstrate a creative mindset for innovative data-solution design.