Project Planning, Monitoring, & Reporting

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  The candidate must have overall 12-14 years of experience in managing Data Warehouse projects of which 3-5 years managing Hadoop platform projects and at least 3-5 years in managing projects on Cloud
• Manage Multiple streams of business & projects
• Participate in project prioritization and planning meetings.
• Participate in project staffing requirements meetings.
• Facilitate a detailed agile epic & story, project plan/work breakdown structure that includes functional and activity decomposition matrix for various phases of work delivery
• Work with technical SMEs to provide project estimates
• Identify and implement project risk mitigation strategies
• Identify the need, duration, and mode of training for offshore colleagues based on project requirement
• Conduct internal status meetings at offshore to remain up to date on project status (including scope, estimation, effort, schedule, change request, staffing, and quality)
• Take corrective action when offshore team members fail to meet deadlines, remain within budget, or perform at the required standard.
• Participate in Change Control meetings with stakeholders and communicate the change to offshore team.
• Collate and document post project feedback. Identify and communicate the improvement areas based on the post project review.

• Identify areas to generate more revenue by selling additional new work

• Do a random review to ensure adherence of offshore team to systems and processes.

• Lead the performance management activities for your team/stream including performance and development planning, performance review and appraisals, recognition, coaching, engagement
• Leverage the talent/resources on the team to generate results.
• Handle colleagues’ day to day issues related to leave & attendance, transport, system issues, training requirements etc
• Planning & driving for grooming of resources on new skill sets & making them productive

Team Leadership and Delivery

Lead, mentor, and develop a high-performing data engineering squads delivering production-grade pipelines and services.

Set technical and operational standards for quality, documentation, and reliability.

Partner with Program Management to plan, prioritise, and track delivery against sprint goals.

Foster a culture of ownership, engineering excellence, and continuous improvement.

Architecture and Technical Design

Contribute to architectural reviews and solution design in collaboration with the Director of Data Engineering.

Ensure scalable, modular pipeline design and adherence to strong data modeling principles

Lead the transition from monolithic pipelines to microservice-based data workflows that are reusable and observable.

Champion consistency and semantic alignment across datasets and layers (Bronze, Silver, Gold).

Technical Standards and Mentorship

Review designs, pull requests, and pipelines for scalability, maintainability, and efficiency.

Coach engineers on clean coding practices, modular design, and testing discipline.

Embed best practices for documentation, schema governance, and dependency management.

Model engineering-first leadership — balancing technical depth with empathy, clarity, and decisiveness.

We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

DISCLAIMER:

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.