Lead cutting-edge AI delivery and project initiatives. This role focuses on end-to-end software delivery, specifically managing AI/ML or Generative AI/Agentic AI projects. You'll guide multi-disciplinary teams, ensure robust delivery governance, and drive the realization of business value through AI programs across various sectors.

Ideal for seasoned program managers transitioning into the AI/ML domain, this position offers the chance to shape and execute impactful AI strategies.

Spearhead the delivery of AI/ML and Generative AI projects, ensuring high-quality and timely outcomes.

Oversee crucial aspects like data preparation, model development, deployment, and MLOps pipelines.

Drive the creation of end-to-end solutions, seamlessly integrating AI components into existing or new applications.

Collaborate closely with engineering and product teams to architect scalable AI solutions and workflows.

Manage multiple AI and software delivery workstreams concurrently, maintaining program roadmaps, risk registers, and status reports.

Establish effective delivery models, governance structures, and quality frameworks, ensuring adherence to timelines, scope, budget, and compliance.

Act as the main liaison for business and technical stakeholders, translating business needs into actionable AI delivery plans and implementation strategies.

Present program updates, key metrics, and potential risks to senior leadership and client executives, fostering strong relationships and ensuring client satisfaction.

Lead cross-functional teams including Data Scientists, ML Engineers, Data Engineers, Developers, QA, and Cloud Engineers, promoting collaboration and mentoring teams on best practices and continuous improvement.

Ensure AI solutions uphold responsible AI principles, data security, and governance standards, implementing KPIs, SLAs, and performance dashboards for model and program health.

A minimum of 8 years in technology or software delivery is required, with at least 3 years specifically dedicated to delivering AI/ML or Generative AI programs.

Previous experience leading large-scale IT or software projects is essential.

Demonstrate strong expertise in Agile, Scrum, and hybrid delivery methodologies.

Possess a solid understanding of the AI/ML lifecycle, encompassing data engineering, model development, deployment, and monitoring.

Familiarity with cloud ecosystems such as Azure, AWS, and GCP, alongside MLOps tooling, is crucial.

Exhibit excellent stakeholder communication, executive reporting, and expectation management skills.

Show proven ability in managing budgets, resource plans, and multi-vendor teams, coupled with strong risk management, governance, and escalation handling capabilities.