This role will collaborate closely with Business, Data Product, Engineering, Privacy, and Cybersecurity teams to strengthen data ownership, standardize business definitions, improve data quality, manage data classification and lineage, and ensure effective data access governance and compliance.
Responsibilities- Define and maintain data ownership, business glossaries, critical data elements (CDEs), data dictionaries, and metadata standards across enterprise data domains.
- Establish and monitor data quality rules, controls, and thresholds; identify data issues and coordinate remediation efforts with Data Engineering teams.
- Classify PII, confidential, and sensitive data assets, ensuring appropriate documentation of access controls, privacy requirements, retention policies, and approved usage guidelines.
- Document and maintain end-to-end business and technical data lineage across source systems, data pipelines, and analytical data products.
- Support governance activities for data modernization initiatives, including migration from legacy platforms to AWS and Databricks environments.
- Facilitate cross-functional governance forums, driving alignment and resolution of data definition, ownership, and quality issues across business and technology teams.
- Develop and implement governance policies, standards, processes, documentation, metrics, and reporting to promote consistent data management practices.
- Define and enforce governance requirements for data contracts, including ownership, business definitions, data quality expectations, sensitivity classifications, lineage, and approved usage.
- Partner with Data Modelers, Data Engineers, and Data Product teams to manage data contract lifecycle activities, including schema evolution, versioning, change management, and producer-consumer accountability.
- Drive adoption of data governance best practices and foster accountability for data stewardship across business and technical stakeholder groups.
Qualifications (Required):
- 7+ years of experience in data governance, data stewardship, data quality, or data management.
- Strong knowledge of metadata, lineage, data classification, access governance, and privacy.
- Proven experience defining, implementing, and monitoring data quality rules, controls, KPIs, and remediation processes, including data profiling and root cause analysis.
- Experience with data contracts, schema governance, data-quality SLAs, change management processes.
- Working knowledge of SQL and modern enterprise data platforms, including cloud-based data lakes, warehouses, and analytics ecosystems.
- Experience with catalog/governance tools like Databricks Unity Catalog, Collibra, Alation, or Informatica.
- Strong communication, facilitation, and stakeholder management skills, with the ability to engage effectively with business, technical, risk, privacy, and executive stakeholders.
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Ability to help shape a governance operating model, not only execute established processes.
Preferred Experience:
- Experience with modern data platforms and cloud technologies, including Databricks, Unity Catalog, Delta Lake, and AWS.
- Domain expertise in media, streaming, advertising, subscription, audience, customer, or consumer data environments.
- Experience supporting large-scale data modernization and migration initiatives, including transitions from legacy platforms to cloud-based architectures.
Skills Required
- 7+ years of experience in data governance, data stewardship, data quality, or data management
- Strong knowledge of metadata, lineage, data classification, access governance, and privacy
- Experience defining, implementing, and monitoring data quality rules, controls, KPIs, and remediation processes
- Experience with data profiling and root cause analysis
- Experience with data contracts, schema governance, data-quality SLAs, and change management processes
- Working knowledge of SQL and modern enterprise data platforms, including cloud-based data lakes, warehouses, and analytics ecosystems
- Experience with data catalog and governance tools such as Databricks Unity Catalog, Collibra, Alation, or Informatica
- Strong communication, facilitation, and stakeholder management skills
- Ability to help shape a governance operating model
- Experience with Databricks, Unity Catalog, Delta Lake, and AWS
- Domain expertise in media, streaming, advertising, subscription, audience, customer, or consumer data environments
- Experience supporting large-scale data modernization and migration initiatives
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
