Finance Program Manager

• Program and Project Planning and Management:
• Collaborate with stakeholders to define program/project objectives, scope, and deliverables.
• Develop comprehensive project plans, including timelines, budgets, and resource requirements.
• Prioritizing strategic initiatives within the Program. Managing interdependencies between projects. Ensuring resource capacity and availability.
• Coordinate project kick-off meetings, establish communication channels, and assign responsibilities.

• Program Governance
• Define key success metrics for each program and track progress against these metrics. This provides a quantifiable way to assess and report the success of the projects and the overall transformation initiative.
• Oversee the work of assigned Project Managers under the program

• AI Implementation Program Management in Finance:
• Lead end-to-end delivery of AI initiatives in Finance (e.g., forecasting and planning, close and reconciliation automation, accounts payable/receivable, audit and controls, financial reporting, and GenAI-enabled analysis), from use-case identification through pilot, deployment, and scale.
• Partner with Finance process owners, EIT, Data & Analytics, Procurement, Legal, Risk, and external vendors or consultancies to define use cases, build business cases, and prioritize the AI roadmap based on value, feasibility, and risk.
• Coordinate data readiness, model development, testing, validation, and integration activities with data science and engineering teams; manage vendor selection and third-party AI solution delivery.
• Establish AI governance within the program, including responsible AI principles, model risk management, human-in-the-loop controls, explainability, data privacy, and security requirements, aligned with internal policies and emerging regulations.
• Define and track AI-specific success metrics (e.g., efficiency gains, forecast accuracy, cycle-time reduction, cost savings, adoption rates, and realized ROI) and report benefits realization to senior management.
• Drive change management and adoption, including training, communications, and workforce enablement, so that Finance teams can effectively use and trust AI-enabled tools and processes.
• Monitor the evolving AI landscape and share lessons learned and reusable assets (playbooks, templates, and standards) across the Transformation Portfolio.

• Financial Analysis and Reporting:
• Monitor project financials, including budgets, expenses, and forecasts.
• Prepare and analyze financial reports, identifying variances and recommending corrective actions.
• Ensure financial compliance and adherence to project budgets.

• Risk Management:
• Identify project risks and develop mitigation strategies.
• Proactively address issues and obstacles that may impact project success.
• Maintain a risk register and update it regularly.
• Identify and manage AI-specific risks, including data quality, model bias, hallucination, explainability, third-party/vendor dependency, and cybersecurity and privacy exposure.

• Stakeholder Communication:
• Maintain clear and open communication channels with project stakeholders.
• Provide regular project status updates and reports to senior management.
• Address stakeholder concerns and provide solutions as needed.

• Process Improvement:
• Continuously assess and improve project management processes and methodologies.
• Identify opportunities to enhance efficiency and effectiveness in project delivery.
• Implement best practices in project management.

• Documentation and Compliance:
• Ensure that all project documentation is complete and organized.
• Monitor compliance with internal policies, industry regulations, and standards.
• Assist in audit preparations and responses.
• Ensure AI solutions are documented, validated, and auditable, and that they comply with responsible AI, model risk management, and applicable regulatory requirements (e.g., EU AI Act, SOX).

Qualifications

• Bachelor's degree in finance, Business Administration, or a related field (master's degree preferred).
• Project Management Professional (PMP) certification or equivalent is a plus.
• Proven experience in project management within the finance sector, including delivery of technology, automation, or AI-enabled transformation initiatives.
• Working knowledge of AI/ML, generative AI, and intelligent automation concepts and their application to Finance use cases (e.g., forecasting, reconciliation, reporting, controls), with the ability to partner effectively with data science and engineering teams.
• Understanding of AI governance, responsible AI, model risk, and data privacy considerations in a regulated finance environment.
• Experience with change management and driving adoption of new technologies, preferably using Agile or hybrid delivery methods.
• Strong financial analysis skills with the ability to interpret and communicate complex financial data.
• Excellent communication and interpersonal skills.
• Proficiency in project management software and financial tools.
• Ability to work collaboratively in a cross-functional team environment.
• Strong problem-solving and critical-thinking abilities.
• Attention to detail and a commitment to quality.

• Flexible working environment

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)