Data Management Manager

CTC

Job Location:

Dallas, TX - USA

Monthly Salary: Not Disclosed

Posted on: 4 days ago

Vacancies: 1 Vacancy

Job Summary

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