Data Management Manager

We are seeking a strategic and hands‑on Manager of Data Management to lead a high‑performing 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 GCP) 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 #J-18808-Ljbffr CTC