Description

Key Responsibilities

AI Program & Project Leadership
• Lead end-to-end delivery of AI, Generative AI, machine learning, and automation initiatives.
• Develop project plans, timelines, budgets, resource requirements, and execution strategies.
• Manage multiple concurrent AI projects across various business functions.
• Establish project governance, reporting, risk management, and escalation processes.
• Ensure projects are delivered on time, within scope, and aligned to business objectives.

Business Partnership & Strategy
• Partner with business leaders to identify, evaluate, and prioritize AI use cases.
• Translate business needs into actionable project roadmaps and technical requirements.
• Develop business cases, value realization plans, and executive presentations.
• Facilitate workshops to define opportunities, success metrics, and adoption strategies.

Cross-Functional Team Leadership
• Coordinate activities across business teams, data scientists, AI engineers, technology teams, vendors, and external partners.
• Drive collaboration among stakeholders with varying levels of AI maturity and technical expertise.
• Remove delivery obstacles and proactively resolve issues impacting project success.

AI Governance & Risk Management
• Ensure compliance with enterprise AI governance frameworks, model risk management standards, privacy requirements, and regulatory expectations.
• Partner with Risk, Compliance, Legal, and Information Security teams throughout project lifecycles.
• Monitor and mitigate delivery, operational, ethical, and model-related risks.

Change Management & Adoption
• Develop stakeholder engagement, communications, training, and adoption plans.
• Measure solution adoption, business outcomes, and user satisfaction.
• Drive change management activities that support sustainable AI implementation.

Performance & Value Measurement
• Define KPIs, success metrics, and benefits realization frameworks.
• Track and report project progress, risks, budget performance, and value delivery.
• Continuously identify opportunities to optimize AI solution effectiveness and ROI.

Required Qualifications
• Bachelor's degree in Business, Technology, Data Science, Engineering, or related field.
• 5+ years of project or program management experience.
• 2+ years leading AI, advanced analytics, machine learning, automation, or digital transformation initiatives.
• Experience managing cross-functional teams and complex enterprise programs.
• Strong understanding of Agile, Waterfall, and hybrid delivery methodologies.
• Experience developing executive-level presentations and business cases.
• Proven ability to manage stakeholder relationships across business and technology functions.
• Excellent communication, facilitation, and problem-solving skills.

Preferred Qualifications
• Master's degree in Business Administration, Data Science, Computer Science, or related field.
• PMP, PgMP, Agile, Scrum, SAFe, or equivalent certifications.
• Experience with Generative AI platforms such as Microsoft Copilot, Azure AI, OpenAI, Anthropic Claude, or similar solutions.
• Knowledge of machine learning lifecycle management (ML Ops) practices.
• Experience within Financial Services, Insurance, Banking, Risk Management, or highly regulated industries.
• Familiarity with AI governance, model risk management, data governance, and responsible AI principles.

Key Competencies
• Leadership - Strategic thinking, executive presence, stakeholder influence, and decision-making.
• Project Delivery - Program management, risk management, resource planning, and portfolio prioritization.
• AI & Technology- Generative AI, machine learning concepts, data analytics, and intelligent automation.
• Business Acumen - Process transformation, benefits realization, financial management, and operational excellence.
• Change Leadership - Organizational change management, communications planning, training enablement, and user adoption

Key Skills

Education

Any Graduate