Posted on: 13-10-2026

Experience: 8+ years

India-Bengaluru

Job ID #1002278

Role Requirements

- Skills: Data Engineering, Data Analytics, Business Intelligence, Data Warehousing, Data Lakes, ETL/ELT, Informatica, Talend, Azure Data Factory, SSIS, AWS, Azure, GCP, Redshift, Snowflake, BigQuery, Azure Synapse, SQL, RDBMS, NoSQL, Data Modeling, Power BI, Tableau, Looker, Agile/Scrum, Jira, Azure DevOps, Data Governance, Data Security, Compliance, Master Data Management, Spark, Hadoop, Databricks
- 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 explicit 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.

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