Key Responsibilities :

- Program Strategy & Roadmap : Lead the planning, execution, and delivery of complex AI/ML programs from inception to completion, including the full model lifecycle : data preprocessing, model development, evaluation, and deployment.

- Collaborate with engineering, data science, business, and product management teams to define program objectives, requirements, and deliverables, ensuring alignment with business strategy.

- Monitor program progress, manage timelines, budgets, and resources; track key metrics, regularly report to stakeholders and executive leadership.

- Identify risks and develop mitigation strategies to ensure successful delivery of AI/ML solutions.

- Foster a culture of technical excellence, innovation, and continuous improvement; mentor team members; uphold responsible AI practices (including fairness and explainability).

- Stay updated with latest AI/ML industry trends, technologies, and methodologies, integrating these into program strategy to maintain competitive edge.

- Drive cross-functional collaboration and organizational alignment, optimizing workflows and processes in rapidly evolving environments.

- Oversee high-stakes stakeholder management, expectation setting, and performance tracking throughout complex projects.

- Promote knowledge-sharing, best practices, and make well-educated decisions across technical and business domains.

Skills & Qualifications :

- Advanced technical degree (MBA/MS/Postgraduate in Computer Science, Machine Learning, AI, or related field) or equivalent hands-on experience.

- Starting with 11+ years of experience in technical program management, including a minimum of 3 years of experience in leading end-to-end AI engagements with cross-functional and global teams.

- Deep technical proficiency with ML toolkits and libraries (such as TensorFlow, PyTorch, Hugging Face) and experience driving adoption of cutting-edge AI/ML techniques (LLMs, transformer architectures, multimodal models, RAG, prompt engineering).

- Strategic Communication : Ability to clearly articulate vision, technical topics, and decisions to diverse stakeholders, and to negotiate priorities and resources effectively.

- Business Acumen : Skilled in analyzing business requirements, defining KPIs, and ensuring AI/ML deliverables translate into measurable business impact.

- Risk & Change Management : Proficiency in identifying risks and managing change across technical and organizational boundaries, with a proactive and data-driven approach to issue resolution.

- Commitment to Responsible AI : Deep awareness of ethical AI principles, data privacy, algorithmic fairness, and responsible deployment strategies, implementing these principles in all program phases.

- Continuous Learning Mindset : Up-to-date on current and emerging trends in AI/ML, with a desire for ongoing professional development and knowledge sharing.