Lead and manage end-to-end delivery of data-centric projects including data warehousing, data integration, and business intelligence initiatives.
Drive project planning, execution, monitoring, and closure using industry-standard project management methodologies (Agile/Scrum/Waterfall).
Collaborate with cross-functional teams, data architects, developers, and business stakeholders to define project scope and requirements.
Ensure timely delivery of project milestones within the approved scope, budget, and timelines.
Proactively manage project risks, dependencies, and issues with clear mitigation strategies.
Establish effective communication plans and engage stakeholders at all levels to ensure project alignment and transparency.
Maintain and track detailed project documentation including timelines, resource plans, status reports, and governance logs.
Lead one or more full lifecycle ETL/Data integration implementations from initiation to go-live and support transition.
Ensure alignment of data architecture and modeling practices with organizational standards and best practices.
Must-Have Skills:Minimum 5+ years of experience in Project Management, with at least 3 years managing data-centric projects (e.g., Data Warehousing, Business Intelligence, Data Integration).
Strong understanding of data architecture principles, data modeling, and database design.
Proven experience managing full-lifecycle ETL/Data integration projects.
Hands-on exposure to project planning, budgeting, resource management, stakeholder communication, and risk management.
Ability to drive cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
Good-to-Have Skills:Working knowledge or hands-on experience with ETL tools such as:
Informatica
Talend
IBM DataStage
SSIS
AWS Glue
Azure Data Factory
GCP Dataflow
Familiarity with Agile/Scrum methodologies and tools like JIRA, MS Project, or Confluence.
PMP, PMI-ACP, or Scrum Master certification.
Prior experience working with cloud-based data solutions.