
Enterprise Data Strategy Leader
2 weeks ago
Program Manager-Data Warehouse Development
Key Responsibilities- 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.
- 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.
- 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.
- Domain Understanding
- General Insurance or any insurance domain
- 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.
- 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.
- 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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