WHAT YOU WILL GET TO DO
- Lead the definition of enterprise data domains (e.g., customer, product, operations, finance, supply chain) including domain boundaries and accountability
- Establish domain‑level governance roles such as Data Product Owners, Data Product Stewards, and Technical Custodians, with clear decision rights
- Stand up domain governance forums and escalation paths to resolve definition, quality, and usage issues
- Define the customer’s data product taxonomy, standards, and lifecycle (intake → design → build → publish → operate → retire)
- Establish a consistent “definition of done” for data products, including: Business definitions and glossary alignment, Metadata completeness and lineage, Data quality rules and thresholds, Security, privacy, and access requirements
- Partner with domain teams to embed product thinking into governance, including consumer needs, SLAs, documentation, and adoption metrics
- Design and implement the governance operating model, including Policies and Standards, Foundational governance processes (data onboarding, data sharing, issue management), Governance forums and execution cadence, Metrics and dashboards to track effectiveness
- Own and operationalize governance capabilities across cataloging, lineage, and data quality management
- Drive a shift from purely people‑driven governance to scalable, repeatable, and tool‑enabled execution
- Coordinate the data stewardship organization across domains
- Mediate and resolve escalated data quality, definition, and ownership issues
- Lead root cause analysis for recurring data issues and prioritize remediation with business and technology teams
- Monitor and report governance performance and maturity to senior stakeholders
- Partner closely with business leaders, analytics teams, data platform teams, architecture, security, and compliance
- Integrate governance expectations into delivery workflows and operating rhythms
- Build, lead, and develop governance talent across centralized and federated models
WHAT YOU BRING
- Bachelor’s degree in data science, computer science, information systems, or a related field (or equivalent experience)
- 5+ years of experience in data governance, data management, or related disciplines
- Strong understanding of data governance frameworks, policies, and standards
- Experience with data cataloging, lineage, and data quality management concepts and tools
- Proven ability to influence across business and technology stakeholders
NICE TO HAVE
- Experience implementing federated or domain‑oriented governance models (e.g., data mesh–inspired approaches)
- Experience defining and operationalizing data products and data product ownership
- Background in large‑scale, complex enterprise environments
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What We Do
Wavicle Data Solutions is a trusted cloud, data and analytics consulting and development partner for businesses that want to get more value from growing volumes of data. Well-known brands across industries work with our team of data management experts, cloud migration consultants, and analytics professionals to modernize their data environments; build robust analytics solutions; and leverage machine learning to improve predictive insights. Combining our expertise in big-data architectures with artificial intelligence and machine learning concepts, we help enterprises imagine new ways to manage costs, increase sales, and become more efficient. Whatever your business goal, we’ll help you tap into the right data and get it to the right place at the right time to the right user. Wavicle was founded in 2013 on the principle that modern organizations rely on data to drive their businesses, yet often lack the time, staff, or knowledge to leverage this valuable resource. We invest heavily to stay ahead of the technology curve through ongoing training, certifications, and proof of concept endeavors. We’re also accredited Talend Partners, AWS Partners, Snowflake Partners, Databricks Partners, and Tableau Partners, among others. As technology experts, you count on us to help navigate through the maze of options and challenges to deliver innovative solutions that unlock the potential of your data. Our capabilities include: data engineering and integration services, cloud migration services, modern data architecture services, enterprise data lakes/data warehouse services, ETL migration services, analytics dashboard and reporting development, machine learning model development, and data science services. Headquartered in Oak Brook, IL, USA and Coimbatore, TN, India, Wavicle has more than 500 employees delivering solutions to customers around the globe.
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