Technical Program Manager- AIML

Role Overview We are looking for an experienced Technical Program Manager with strong expertise in FMCG/CPG, technology delivery, program management, and technical team leadership, along with exposure to AI/ML technologies. The candidate will be responsible for driving complex technology programs from planning through execution, ensuring timely delivery, quality, stakeholder alignment, and business outcomes. The role requires a strong understanding of FMCG business processes and technology platforms, combined with the ability to work closely with Engineering, Product, Architecture, Data, AI/ML, QA, and Business teams.

Key Responsibilities

Own end-to-end technology program delivery, including planning, execution, governance, milestones, dependencies, risks, and overall delivery outcomes.

Drive technology programs within the FMCG/CPG ecosystem, working closely with business and technology stakeholders.

Understand FMCG business requirements and translate them into technology solutions and executable delivery plans.

Provide strong technical program leadership to Engineering, Data, AI/ML, and technology teams.

Lead multiple technical teams and workstreams, ensuring accountability, collaboration, and delivery excellence.

Work closely with Architects, Product Managers, Engineering Leads, Data Scientists, and AI/ML teams to ensure successful delivery.

Manage program risks, dependencies, issues, scope changes, and escalations.

Establish effective program governance through regular reviews, dashboards, KPIs, status reporting, and leadership updates.

Drive Agile/Scrum practices including sprint planning, release planning, backlog prioritization, reviews, and retrospectives.

Identify opportunities to leverage technology and AI/ML to improve FMCG business processes and outcomes. AI/ML Responsibilities

Good understanding of AI/ML concepts, use cases, and technology ecosystems.

Work with AI/ML teams to understand requirements, solution approaches, dependencies, and delivery challenges.

Exposure to Generative AI, LLMs, Machine Learning, NLP, Predictive Analytics, or AI-enabled applications.

Understand the overall AI/ML lifecycle from data preparation and model development through deployment and monitoring.

Identify opportunities where AI/ML can create value within FMCG business processes.

Track AI/ML initiatives from PoC to production deployment.

Hands-on model development or coding is not mandatory. Technical & Delivery Skills

Strong understanding of software engineering and technology delivery.

Good understanding of enterprise applications, APIs, integrations, databases, and cloud platforms.

Understanding of microservices, cloud architecture, SDLC, Agile/Scrum, DevOps, CI/CD, and MLOps.

Ability to engage effectively with Architects, Developers, Data Scientists, ML Engineers, QA, and Product teams.

Strong program governance, delivery management, risk management, and dependency management capabilities.

Ability to understand complex technical challenges and drive teams toward scalable solutions. People & Stakeholder Leadership

Lead, mentor, and develop technical, engineering, data, and AI/ML teams.

Manage multiple teams and workstreams with competing priorities.

Build a culture of ownership, accountability, collaboration, and continuous improvement.

Partner with senior business and technology stakeholders to drive alignment and timely decisions.

Communicate complex technical and AI/ML concepts effectively to technical and business stakeholders.

Manage escalations and ensure timely resolution of critical issues.

Experience & Qualifications

1215 years of overall experience in technology, program, or delivery management.

Proven experience as a Technical Program Manager / Program Manager / Technology Delivery Manager.

Strong experience managing large-scale technology programs and technical teams.

Strong FMCG/CPG domain experience with good understanding of RTM, Sales & Distribution, DMS/SFA, or related platforms.

Exposure to AI/ML programs, products, or initiatives.

Experience working with cross-functional Engineering, Product, Data, AI/ML, Architecture, QA, and Business teams.

Excellent stakeholder management, communication, problem-solving, and leadership skills.

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, AI/ML, Data Science, or a related discipline.