Technical Project Manager – Data Technologies

About the job

Role: Technical Project Manager – Data Technologies Roles And Responsibilities: We are looking for an experienced Technical Project Manager (TPM) with strong expertise in data technologies to lead and deliver complex data-driven initiatives. The ideal candidate will bridge business objectives with technical execution across data engineering, analytics, BI, and cloud platforms, ensuring scalable, secure, and high-quality data solutions. Key ResponsibilitiesDelivery & Project Management 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 across all initiatives. Requirements & Stakeholder Management Collaborate with business stakeholders to gather and translate data and analytics requirements into user stories and epics. Work closely with data architects, engineers, and analysts to validate solution design and technical feasibility. Conduct impact analysis, data flow mapping, and gap assessments. Ensure traceability of requirements from design through deployment. Manage prioritization of data-related incidents, enhancements, and change requests. Data Platform & Technology Oversight Oversee implementation and optimization of data pipelines (ETL/ELT processes). Manage projects involving data warehouses, data lakes, and cloud data platforms. Ensure best practices in data governance, security, scalability, and performance optimization. Coordinate DevOps and CI/CD processes for data deployments. Monitor data quality frameworks and performance metrics. Pre-Sales & Solution Support Support pre-sales activities including defining solution scope, architecture approach, timelines, and effort estimation. Participate in client discussions, RFP/RFI responses, and proposal presentations. Provide delivery feasibility assessments and risk mitigation strategies. Team Leadership 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. Drive a culture of accountability, innovation, and continuous improvement. Required Skills 8+ years of experience in technology projects Minimum 3+ years managing data engineering or analytics programs Strong experience in Data Warehousing, Data Lakes, BI, and Advanced Analytics projects Hands-on exposure to ETL/ELT tools (Informatica, Talend, ADF, SSIS, etc.) Experience with cloud platforms (AWS / Azure / GCP – Redshift, Snowflake, BigQuery, Azure Synapse) Strong knowledge of SQL, databases (RDBMS / NoSQL), and data modeling Experience with BI tools such as Power BI, Tableau, or Looker Familiarity with Agile/Scrum methodologies and tools (Jira, Azure DevOps) Understanding of data governance, security, compliance, and MDM Experience managing distributed or multi-vendor teams. Good to Have Exposure to Big Data technologies (Spark, Hadoop, Databricks) Experience in AI/ML project coordination Knowledge of data cataloging and metadata management tools PMP, CSM, or equivalent certification Preferred Qualifications Bachelor’s degree in Computer Science, Engineering, or related field Strong analytical and strategic thinking abilities Excellent communication and stakeholder management skills Ability to manage ambiguity and evolving priorities Strong decision-making and problem-solving skills Screening Criteria: Immediate joiners preferred Min 8 Years Experience Experience in Data Projects (Mandatory) Qualifications: Any Degree (Preferably in Computer Science / Engineering) Interview Details: Video screening with HR L1 - Technical / Data Project Round L2 - Managerial Round L3 - Client / Final Round Benefits: Weekends Off Hybrid / Work From Office (based on project requirement)