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Technical Program Manager - Agile & AI Integration

Ford Motor

Technical Program Manager - Agile & AI Integration

Ford Motor

Chennai

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Description

Program Manager

As a Project Manager, you will lead a Balanced Product Team, collaborating with designers and engineers to deliver end-to-end solutions.

PDO Leadership: Drive the delivery lifecycle, ensuring strategic alignment and unblocking technical teams.
Technical Delivery: Actively participate in architectural design, technical requirement breakdowns, and system troubleshooting (GCP, Angular, Java/Python).
Jira Management: Maintain rigorous oversight of complex project workstreams, agile ceremonies, and backlogs using Jira.
Cloud & AI Integration: Drive the execution of Applied AI projects, integrating LLMs and Agentic AI workflows into enterprise applications.

Act as the core Project Manager within a Balanced Product Team, driving the end-to-end delivery lifecycle from ideation to deployment.
Maintain rigorous and meticulous oversight of project workstreams, epics, and the product backlog using Jira.
Engage hands-on with the tech stack to support the engineering team—understanding API payloads, querying data (BigQuery/SQL), and navigating CI/CD pipelines (Terraform) & compliance.
Translate complex business needs into actionable user stories and technical acceptance criteria.
Develop and manage project schedules, resources, and timelines based on technical feasibility and business value.
Proactively identify, assess, and mitigate technical risks, dependencies, and blockers across release trains.
Lead root cause analysis (RCA) and proactive problem management/defect prevention activities.

Basic Qualifications:

Bachelor’s degree in Computer Science, Computer Engineering, or a combination of education and equivalent experience.
5+ years of progressive experience in Technical Project Management or Software Engineering within a PDO or Agile environment.

Technical & Hands-On Skills:

Strong understanding of full-stack development, specifically modern front-end frameworks (Angular) and backend languages (Python, Java, or Node.js).
Hands-on experience with Google Cloud Platform (GCP) services (e.g., BigQuery, Cloud Run) and cloud-native architectures.
Applied AI Experience: Familiarity with or hands-on experience driving projects that integrate Generative AI, RAG, and LLM frameworks (e.g., LangChain, Vertex AI).
Ability to read code, write database queries (SQL), and actively participate in technical troubleshooting.

Tool & Process Knowledge:

Expert-level proficiency in Jira and Confluence for managing complex projects, iterations, and advanced reporting.
Deep understanding of software engineering disciplines (eXtreme Programming, TDD, CI/CD pipelines).

Soft Skills:

Exceptional leadership and communication skills, with a proven ability to translate complex technical concepts (like Agentic AI or microservices) to non-technical stakeholders.