Program Manager

We are seeking an experienced and dynamic Program Manager to lead large-scale, cross-functional data, analytics, and AI programs. This role will drive standardization, governance, and continuous improvement across initiatives, ensuring alignment with business objectives and delivery excellence. The ideal candidate will possess deep program management expertise, strong leadership skills, and a solid understanding of data engineering, governance, and change management.

As Program Manager, you will be responsible for a wide range of engagements listed below:

Strategic Program Leadership:
Collaborate with project sponsors and cross-functional teams to define program scope, deliverables, work plans, required resources, budgets, and timelines. Lead and coordinate multiple interrelated projects to ensure alignment with strategic goals and optimal return on investment. Develop and manage overall program budgets and ensure delivery against key business objectives. Project & Portfolio Management: Manage a portfolio of data, analytics, and AI projects by applying standardized project management methodologies and governance. Identify and prioritize cross-functional requirements, dependencies, and opportunities across initiatives. Work with project managers to ensure milestones, risks, and deliverables are tracked and reported consistently.

Governance, Quality & Standardization:
Standardize and elevate project management practices across the portfolio to ensure consistency, quality, and repeatability. Establish and enforce governance frameworks, best practices, and tools to drive delivery excellence and faster time-to-value. Monitor and report program performance through KPIs, dashboards, and regular stakeholder updates. Continuous Improvement & Change Management: Identify and address gaps in program delivery by fostering a culture of continuous improvement. Enable capability building through training, knowledge sharing, retrospectives, and process refinements. Apply change management principles to ensure smooth implementation and stakeholder alignment. Technical & Data Domain Expertise: Leverage knowledge of data engineering concepts including data lakes, data warehouses, ETL/ELT pipelines, and real-time data processing. Ensure programs comply with data governance policies, quality standards, and regulatory requirements. Collaborate with data architects, analysts, and data scientists to ensure program delivery aligns with technical best practices. Required Skills

Master s degree in business, Engineering, Computer Science, or a related field.
8+ years of experience in program or project management, with at least 3 years in data, analytics, or AI-related programs. Proven track record of managing budgets, cross-functional teams, external vendors, and multiple project streams. Strong leadership, stakeholder management, facilitation, and organizational skills. Hands-on experience in Agile, Scrum, and traditional project management methodologies. Expertise in tools such as Jira, Azure DevOps, Confluence, MS Project, or similar. Demonstrated ability to analyze risks, track metrics, and drive successful outcomes in dynamic environments. Familiarity with data governance, data quality, and compliance frameworks. Strong skills in data analysis, auditing, and business operations. PMP, PRINCE2, Agile, or SAFe certification is highly desirable.

Preferred Skills

Experience in a data or AI product development environment.
Exposure to MLOps, data mesh, or modern data stack concepts. Strong knowledge of performance evaluation and continuous improvement processes. Experience with stakeholder training, change enablement, and enterprise-wide transformation programs.