Technical Project Manager

Job Title: Technical Project Manager (AI, Data & Cloud) Location: Hybrid - Kochi Experience: 9+ year Job Summary We are hiring a Technical Project Manager with Data Science experience who can code, architect, and build — not just coordinate. This is a hands-on technical leadership role for someone who has grown from developer or solution architect into delivery leadership. The ideal candidate will own end-to-end technical delivery, actively participate in architecture decisions, code reviews, and solution design, and lead teams building scalable, cloud-native, AI- and data-driven systems.

If you have experience delivering AI, data analytics, or ML-enabled platforms while adhering to strong engineering practices, this role is for you. Key Responsibilities Own technical delivery end to end — planning, architecture, sprint execution, QA, deployment, and post-release stability. Translate business requirements into scalable, secure, cloud-ready solutions, including AI and data analytics components.

Collaborate with engineering teams to design system architecture, APIs, data pipelines, and cloud infrastructure. Actively step in hands-on when needed — performing architecture reviews, prototyping, PoCs, code reviews, and contributing technically to unblock teams and ensure delivery. Act as the technical escalation point for engineering, DevOps, QA, data, and product teams.

Lead delivery of AI/ML, data analytics, or reporting solutions, ensuring performance, reliability, and data integrity. Implement and enforce Agile/Scrum practices that deliver real business value at speed. Create and maintain project plans, technical documentation, risk logs, and delivery metrics.

Work closely with clients, stakeholders, and leadership to align business objectives with technical execution. Minimum Requirements 9+ years of IT experience, with 3+ years in project, delivery, or technical program management. Bachelor’s degree in Engineering or Technology (B.Tech / BE / BS in Computer Science, IT, Electronics, or related technical discipline) is mandatory Strong technical background with prior experience as a Developer, Solution Architect, or Tech Lead.

Proven ability to design systems, review code, and understand full-stack architecture (hands-on experience is a strong plus). Experience delivering AI, data analytics, or data-driven platforms, including dashboards, analytics pipelines, or ML-enabled features. Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) or analytics tools (Power BI, Tableau, Looker).

Solid understanding of data architectures, such as data warehouses, data lakes, ETL/ELT pipelines, and analytics workflows. AWS Cloud Certification (minimum: AWS Cloud Practitioner; Associate or Professional preferred). Experience with modern tech stacks: Backend: Node.js, Python, Java, .NET Frontend: React, Angular, Vue Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud infrastructure (AWS preferred).

Experience working with DevOps and MLOps workflows is a strong plus. Proficiency in Agile methodologies, with hands-on use of Jira, Azure DevOps (ADO), or similar tools. Strong communication and stakeholder management skills — able to bridge business, engineering, and data teams.

Experience working directly with US-based clients and stakeholders, including overlap with US time zones and participation in technical discussions, planning, and delivery governance. Nice to Have Exposure to big data technologies (Spark, Kafka, Airflow, Redshift, Snowflake, BigQuery). Familiarity with multi-cloud environments (Azure, GCP).

Experience with microservices, serverless architecture, and event-driven systems. Background in product development environments or startup culture. Experience in budgeting, resource planning, and delivery forecasting.

Prior experience delivering solutions in Oil & Gas, Energy, or Utilities domains, including data platforms, analytics, operational systems, or digital transformation initiatives. What We Offer Work on impactful, AI- and data-driven projects with real engineering ownership. A team of strong developers, architects, data engineers, and PMs who value tech-first leadership.

Performance-based growth with opportunities to move into senior leadership roles. Flexible work culture focused on outcomes, quality, and delivery excellence.