Technical Project Manager (AI, Data & Cloud)

Overview

We are hiring a Technical Project Manager 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 alongside strong engineering practices, 
this role is for you. 

Job Description

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 
• 10+ 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. 
• 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: 
o Backend: Node.js, Python, Java, .NET 
o 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 
• Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) or analytics tools (Power BI, 
Tableau, Looker). 
• 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.

Skills & Requirements

Project Management, Technical Leadership, AI/ML, Data Analytics, AWS, Azure, GCP, Node.js, Python, Java, .NET, React, Angular, Vue.js, Docker, Kubernetes, CI/CD, DevOps, MLOps, Jira, Azure DevOps, ETL, Data Warehousing, Snowflake, Kafka, Spark, Airflow, Tableau, Power BI, Agile, Scrum

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