We are seeking a Vice President to join the Portfolio and Execution Management function within the Business Enablement and Transformation team.
As a VP, you will lead the evolution of Infrastructure Platforms' data and decision intelligence capabilities, enabling faster, more informed and more proactive decision-making across portfolio management, investment governance and strategic execution. Leveraging advanced analytics, automation and approved AI-enabled solutions, the role will transform how leaders understand portfolio health, prioritize investments, identify risk and drive execution outcomes.
Job responsibilities:
Required qualifications, capabilities and skills:
- 8+ years of hands-on experience developing analytical solutions in a fast-paced environment (preferably financial services) and/or experience in management consulting with a heavy emphasis on quantitative analysis.
- Thrive in a fast-paced, high-impact environment—ability to prioritize ruthlessly, and making disciplined trade-offs to deliver high-quality outcomes in a dynamic environment.
- Demonstrated problem-solving and issue identification skills, along with the ability to structure ambiguous problems and synthesize quantitative and qualitative inputs into clear recommendations.
- Interpersonal leadership and influencing skills. Proven stakeholder management skills and ability to influence across a matrix.
- Bachelor’s Degree (or higher) in a quantitative discipline (e.g. Computer Science, Engineering, Applied Statistics, Mathematics or similar)
- Strong experience with enterprise data ecosystems, including SQL, APIs, cloud-based data platforms, data modeling and data integration architectures. Ability to build and scale reusable data products, analytic assets and self-service decision-support capabilities.
- Experience leveraging Generative AI, LLM-based solutions, Copilot technologies, retrieval-augmented generation (RAG), AI-assisted analytics platforms or similar enterprise AI capabilities.
- Familiarity with infrastructure and cloud technology a plus, e.g., datacenter compute, storage, database, network, mainframe, middleware a plus
- Strong creative problem-solving skills. Ability to set goals, prioritize and manage across complex workstreams, and drive thinking and progress proactively and independently.
- Comfort with ambiguity, including the application of skills within new and unfamiliar domains. Demonstrated ability to communicate complex analytical insights and AI-driven recommendations to senior executives and influence strategic decisions.
- The successful candidate will be expected to use AI responsibly, applying sound judgment, human oversight, transparency, data-quality discipline and appropriate controls when developing AI-assisted analytics, automation and executive reporting capabilities.
