Technical Project Manager - IT

Kalpita Technologies; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Kalpita Technologies in Bengaluru seeks a Technical Project Manager - IT to drive end-to-end data and analytics initiatives. You will coordinate data engineers, BI developers, analysts, and architects to deliver high-quality solutions on time.

The role demands 8+ years of experience, strong governance, and a proven ability to translate requirements into actionable user stories while managing dependencies and risks in fast-paced environments.

Qualifications

• Experience delivering data and analytics projects end-to-end.
• Strong knowledge of data governance and quality standards.
• Proven ability to manage multiple Agile workstreams.
• Excellent stakeholder management and communication skills.

Responsibilities

• Own end-to-end delivery of data and analytics projects and ensure timely outcomes.
• Manage multiple Agile workstreams including data engineering and BI.
• Develop detailed project plans, track milestones, and mitigate risks.
• Monitor sprint execution, velocity, and program health metrics.
• Ensure governance and data quality across initiatives.
• Translate business requirements into user stories and epics.
• Collaborate with data architects, engineers, and analysts on designs.
• Lead cross-functional teams and mentor team members.

Skills

Data governance

Stakeholder management

Project management

Agile

Cloud platforms

Education

Bachelor's degree in CS/IT or related field

PMP or equivalent certification

Tools

Data warehouses

BI tools

ETL/ELT processes

Job description

Home / Open Positions / Technical Project Manager - IT

Technical Project Manager - IT

Posted on: 13-10-2026

Experience: 8+ years

Job ID #1002278

Role Requirements

• Own end-to-end delivery of data and analytics projects, ensuring timely and high-quality outcomes aligned with business goals.
• Manage multiple Agile workstreams, including data engineering, BI, reporting, and platform modernization initiatives.
• Develop detailed project plans, track milestones, and proactively mitigate risks and dependencies.
• Monitor sprint execution, track velocity, and report on program health and delivery metrics.
• Ensure governance, compliance, and data quality standards are maintained across initiatives.
• Partner with business stakeholders to gather and translate data, reporting, and analytics requirements into actionable user stories and epics.
• Work closely with data architects, engineers, and analysts to validate technical feasibility and solution design.
• Conduct impact analysis, data flow mapping, and gap assessments.
• Ensure clear traceability of requirements from design through deployment.
• Manage prioritization of data-related incidents, enhancements, and change requests.
• Oversee implementation and optimization of data pipelines and ETL/ELT processes.
• Manage projects involving data warehouses, data lakes, and cloud data platforms.
• Ensure best practices in data governance, security, performance optimization, and scalability.
• Coordinate DevOps and CI/CD processes for data deployments.
• Monitor data quality frameworks and performance metrics.
• Support pre-sales activities by defining data solution scope, architecture approach, timelines, and effort estimation.
• Participate in client discussions, RFP/RFI responses, and proposal presentations for data and analytics engagements.
• Provide delivery feasibility assessments and risk mitigation strategies during solution shaping.
• Lead cross-functional teams, including data engineers, BI developers, analysts, architects, and QA teams.
• Foster collaboration between onsite and offshore teams.
• Mentor team members and support capability building in emerging data technologies.
• Promote a culture of accountability, innovation, and continuous improvement.
• Have at least 3+ years of experience managing data engineering or analytics programs.
• Demonstrate strong experience managing large-scale data initiatives, including data warehousing, data lakes, BI, and advanced analytics.
• Have experience managing distributed or multi-vendor teams.
• PMP, CSM, or equivalent certification is a plus.
• Exposure to AI/ML project coordination and knowledge of data cataloging and metadata management tools are preferred.
• Demonstrate strong analytical and strategic thinking, communication, stakeholder management, decision-making, and problem-solving skills.
• Ability to manage ambiguity and evolving priorities in fast-paced environments.