Technical Project Manager - Data & Analytics

Role

We are seeking a Technical Project Manager with a strong software development and Data Engineering background, along with a deep understanding of Agile and Scrum methodologies. The ideal candidate should have prior experience as a software developer or data engineer, proficiency in one or more programming languages, and hands-on exposure to data engineering, data platforms, ETL/ELT, and software delivery processes. This is a leadership role that requires a strong combination of technical expertise, data engineering knowledge, and project management skills to drive successful delivery of complex technical projects.

What You Will Do:

• Lead and manage cross-functional engineering teams to deliver high-quality software and data engineering projects.
• Serve as the bridge between technical teams and business stakeholders, translating business requirements into effective technical and data solutions.
• Own the Software Development Lifecycle (SDLC) and project delivery lifecycle, ensuring Agile and Scrum best practices are followed.
• Facilitate Agile ceremonies including sprint planning, daily stand-ups, retrospectives, backlog grooming, and demos.
• Identify and mitigate risks, manage dependencies, and proactively resolve project issues and conflicts.
• Oversee task breakdowns, sprint tracking, effort estimation, resource planning, and project timelines.
• Collaborate with Data Engineers, Developers, Architects, and Product teams
  
  to ensure technical solutions align with business objectives.
• Drive projects involving data engineering, ETL/ELT pipelines, data platforms, data warehouses, and data modernization initiatives.
• Monitor engineering and project progress using JIRA or equivalent Agile project management tools.
• Ensure effective integration of DevOps practices, data quality, testing strategies, deployment, and release management.

Required Skills & Qualifications:

• Bachelors degree in Computer Science, Engineering, or a related field.
• 8–15 years of experience, with at least 4 years in a Technical Project Manager, Project Manager, or Scrum Master role, along with prior experience in software development or data engineering.
• Strong technical background in Data Engineering, with experience in one or more technologies such as ETL/ELT, SQL, Python, Data Warehousing, Snowflake, Databricks, Azure Data Factory, or similar platforms.
• Strong understanding of software development, data engineering, system architecture, APIs, and development pipelines.
• Hands-on exposure to data engineering projects, data platforms, data migration, or data modernization is highly preferred.
• Certified ScrumMaster (CSM), PMI-ACP, or equivalent Agile certification is mandatory.
• Proficiency with project management tools such as JIRA, Confluence, Trello, or Azure DevOps.
• Strong understanding of Agile/Scrum methodologies, SDLC, project planning, risk management, and delivery management.
• Strong stakeholder communication, team leadership, problem-solving, and decision-making skills.
• Exposure to AI/ML or Generative AI projects is an added advantage.