Data Governance Specialist/Lead

RR Donnelley•Warrenville, IL

3d•$85,000 - $136,000•Remote

About The Position

As a Data Governance Specialist/Lead, you will help to build the foundation for the future of data and AI. RRD is experiencing a paradigm shift from traditional reporting and dash-boarding to dynamic, autonomous AI applications. To fuel this transformation, we need a Data Governance Lead to ensure our data can "stand on its own" for unknown and unimaginable future AI purposes. To do this, the data must be well documented, its metadata well maintained, and its taxonomies and ontologies clearly defined. As the Data Governance Lead, you will spearhead this targeted initiative, priming our foundational data governance architecture to support specific AI use cases and establishing scalable frameworks for future domains. This role will require your very best soft and organizational skills along with the ability to jump into the data yourself when you need to understand what is going on under the covers and deep in the databases. The key responsibilities of this role is embedding governance into data platforms and development initiatives.

Requirements

BA/BS degree required.
5+ years of experience in consulting or with large enterprise data governance programs preferred.
Experience with Collibra, Informatica’s Cloud Data Governance and Catalog (CDGC) or similar tools.
Experience with MDM tools is a plus.
Battle-tested in leading large scale, successful data standardization projects across messy, disparate systems.
Deep, practical knowledge of metadata management, data observability, and enterprise taxonomy design.
A "Pragmatic Builder" focused on incremental, sustainable value delivery rather than highly disruptive transformations.
Must be a "Cross-Functional Unifier" and a "Business Translator" capable of clearly articulating how standardized data directly enables high-value AI and reporting outcomes.
Insatiably Curious: Enjoys learning and diving into the unknown. Has a strong desire to deeply understand complex ideas and processes.

Nice To Haves

Experience with MDM tools is a plus.

Responsibilities

Establish Strong Foundations: Lead the early formalization of enterprise data governance, active metadata management, data quality documentation and management and the definition of data access rights to ensure trusted, understood and usable data.
Standardize and Formalize: Socialize data related standards by defining foundational taxonomies, data dictionaries, data lineage documentation and ontologies.
Continuously Assess Readiness: Design and manage a continuous Data Governance Lifecycle (Establish, Operate, Iterate) to certify data readiness for AI during the operationalization of production use cases.
Evolve Incrementally: Continuously refining existing standards, gathering lessons learned, and seamlessly adding new domains as data requests are prioritized.
Build Multidisciplinary Teams: Empower and unite cross-functional teams, including data stewards, engineers, AI specialists, and business domain experts, to build truly AI-ready data products. Lead metadata harmonization workshops with data stewards, senior leaders, and SMEs to resolve definition conflicts and align standards.
Change Agent: Be the change agent to enable user adoption of data governance processes, procedures, controls such as those related to metadata, data quality, and data ownership.
Compliance: Work to ensure that data is compliant with all applicable requirements including CCPA, SOX, GDPR, HIPAA.