Data Analytics and AI VP

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:


* Developing data solutions to support business and management reviews and decision forums.

Structuring analytics to identify potential opportunities for enterprise change and improvement.


* Design and implement AI-enabled decision-support solutions that leverage machine learning, predictive analytics and generative AI techniques to improve portfolio prioritization, investment governance and execution outcomes and surface trends, risks, anomalies and recommended actions.


* Leveraging data visualization and data transformation tools to build impactful dashboards for leadership and IP stakeholders.


* Partner with technology, product, risk and controls stakeholders to ensure AI-enabled reporting and automation use appropriate human review, data lineage, access controls and transparent assumptions.


* Help define reusable analytics patterns, prompts, metrics definitions and reporting standards so insights are consistent, auditable and scalable across IP stakeholders.


* Working with stakeholders and subject matter experts on requirements for key business metrics, data sourcing, visualization, and publishing.


* Independently managing multiple efforts simultaneously across a range of domains.

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 reu...