Description
Evernorth Health Services, a division of The Cigna Group, is seeking a Data Management Strategy & Governance Manager to lead initiatives that support strategic goals. You will develop an integrated architectural strategy to support next-generation capabilities on an enterprise-wide scale.
Responsibilities
Data Quality & Observability Delivery (Hands-on)
- Design, build, and maintain data quality rules, checks, and controls across critical data pipelines and domains.
- Lead implementation and expansion of data observability capabilities, including monitoring, alerting, and issue triage.
- Partner with engineering and platform teams to embed data quality and observability into pipelines, ingestion frameworks, and CI/CD processes.
- Perform root cause analysis for data quality incidents and partner with upstream/downstream teams on remediation.
- Contribute directly to backlog items, technical designs, and solution reviews alongside the team.
Team Leadership & People Management
- Directly manage and mentor four Hyderabad-based Data Quality team members, providing clear goals, feedback, and development guidance.
- Serve as the primary point of contact between the onshore Data Quality Execution Team and the Hyderabad Data Quality team.
- Own sprint-level planning, work allocation, and delivery accountability for the Hyderabad team.
- Foster strong technical capability, accountability, and ownership within the team.
- Support performance management, coaching, and skill development in alignment with enterprise expectations.
- Ensure consistent communication, delivery transparency, and alignment across time zones.
Qualifications
Required Experience & Education:
- 11 - 13 years of experience in data management, data analysis, data profiling, and statistical techniques.
- 5 Years of experience managing the Data engineering teams.
- Must have a thorough understanding of concepts of Data Quality.
- Hands-on-experience with Data Quality tool is a must.
- Strong understanding of Collibra DI views, glossary hierarchies, and governance workflows.
- Hands-on experience with scripting languages like Python, Pyspark, including automation, data processing, and script optimization.
- Must be proficient in writing Advanced SQL queries going against multiple databases.
- Strong understanding of data pipelines, ETL/ELT processes, and analytics ecosystems.
- Proven ability to balance technical contribution with people leadership.
- Excellent problem-solving skills and the ability to analyze complex issues and implement effective solutions.
- Strong experience working across global delivery models.
Required Skills:
- Data Quality, Databricks, Python, Pyspark, SQL
Preferred Skills, Experience & Education:
- Familiarity with data governance frameworks and federated operating models.
- Healthcare Industry experience is preferred.