Enterprise Data Strategy Leader

2 weeks ago


Mumbai City Navi Mumbai Mumbai, India beBeeProgramManager Full time
Job Title

Program Manager-Data Warehouse Development

Key Responsibilities
  1. Communication Management
  • Act as the primary liaison between technical teams, business units, and leadership.
  • Provide regular program updates, dashboards, and executive reports.
  • Manage stakeholder expectations and address potential risks proactively.
  1. Governance, Quality, and Compliance
  • Ensure data governance, security, and compliance standards are adhered to across projects.
  • Monitor data quality, lineage, and consistency in collaboration with data stewards.
  • Drive standardization and best practices in ETL and analytics processes.
  1. Team Leadership & Vendor Management
  • Lead cross-functional teams, including data engineers, ETL developers, analysts, and vendors.
  • Manage relationships with third-party solution providers and consultants.
  • Conduct performance reviews, mentoring, and training for project teams.
  1. Domain Understanding
  • General Insurance or any insurance domain
Required Skills and Qualifications
  • Strong program/project management skills (preferably PMP, PRINCE2, or Agile/Scrum certified).
  • Experience with Data Warehousing (e.g., Snowflake, Redshift, BigQuery, Teradata) and ETL Tools (e.g., Informatica, Talend, SSIS, DataStage).
  • Proficiency in BI & Analytics tools (Power BI, Tableau, Looker, Qlik, etc.).
  • Familiarity with Cloud Data Platforms (AWS, Azure, GCP).
  • Strong understanding of data governance, quality, and compliance frameworks.
  • Excellent communication, leadership, and stakeholder management skills.
Qualifications
  • Bachelor's or Master's in Computer Science, Data Science, Information Systems, or related field.
  • 8–12 years of experience in data engineering, analytics, or ETL programs, with at least 3–5 years in a program/project management role.
  • Experience in large-scale data platform implementations and BI reporting projects.
Benefits
  • Timely delivery of data and analytics projects within scope and budget.
  • High stakeholder satisfaction with analytics outputs and reporting.
  • Improved data quality, consistency, and adoption of BI dashboards.
  • Efficient utilization of resources and adherence to data governance standards.


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