Data Management Manager

Data Management Manager

Position Summary
We are seeking a strategic and hands-on Manager of Data Management to lead a highperforming team of 40–50 professionals responsible for the design, operation, and modernization of enterprise data platforms. This role will oversee legacy data stores while driving the transition to modern Data Lake and cloud-based data architectures in partnership with cross-functional project teams. The ideal candidate combines strong leadership skills with deep expertise in data management, governance, and platform transformation initiatives.

This role will report to the Director of the Data Tower

Key Responsibilities
Leadership & People Management

• Lead, mentor, and develop a team of 40–50 data engineers, analysts, and data operations professionals
• Establish clear goals, performance metrics, and career development plans
• Drive a culture of accountability, innovation, and continuous improvement
• Manage team capacity planning, workload balancing, and hiring strategies

Data Governance & Quality
• Work with Data Tower peers to establish and enforce data governance policies, standards, and frameworks
• Drive improvements in data quality, lineage, cataloging, and master data management
• Ensure compliance with regulatory and security requirements
• Support Data Protection requirements

Operational Excellence
• Develop and define SLAs/SLIs for data availability, latency, and reliability
• Implement monitoring, alerting, and incident response processes
• Optimize cost, performance, and efficiency across data environments Stakeholder & Program Collaboration
• Work closely with Technology leaders, product teams, and IT to align data strategy with organizational needs
• Act as a key partner in enterprise transformation programs
• Communicate progress, risks, and outcomes to senior leadership
Modern Data Platform Transformation
• Partner with enterprise architecture and engineering teams to design and implement Data Lake / Lakehouse solutions (e.g., Azure Data Lake, AWS S3, Databricks, Snowflake)
• Work with Architect, Project teams and the Data Tower teams on migration of data pipelines from legacy systems to modern platforms
• Define and implement best practices for data ingestion, transformation, streaming, and storage
• Support adoption of scalable, cloud-native data services and tools

Required Qualifications
• 8+ years of experience in data management, data engineering, or data operations
• 5+ years of experience leading large teams (20+; preferably 40+)
• Strong experience with enterprise data platforms (SQL Server, Oracle, Teradata, etc.)
• Hands-on experience with modern data architectures (Data Lake, Lakehouse, cloud platforms)
• Proven track record leading data modernization or migration initiatives
• Strong understanding of ETL/ELT processes, data modeling, and distributed data systems
• Experience with cloud platforms (Azure, AWS, or Google Cloud Platform)

Preferred Qualifications
• Experience with tools such as Databricks, Snowflake, Azure Synapse, Hadoop ecosystem
• Knowledge of data management tools and MDM (Ab Initio)
• Experience with real-time / streaming technologies (Kafka, Spark Streaming)
• Familiarity with DevOps/DataOps practices
• Industry certifications in cloud or data platforms

Key Competencies
• Strategic thinking with execution focus
• Strong leadership and team-building skills
• Excellent communication and stakeholder management
• Ability to balance legacy system stability with innovation and transformation
• Problem-solving mindset with data-driven decision-making Success Measures
• Stability and performance of legacy data systems
• Successful delivery of Data Lake / modernization initiatives
• Improved data quality, accessibility, and governance
• Team engagement, retention, and productivity
• Alignment of data strategy with business outcomes

Work Environment
• Hybrid / on-site depending on organizational needs (some in office requirements)
• Collaboration with global teams, engineering, and business stakeholders