Clear Visions, Inc., An RR Donnelley Company Logo

Clear Visions, Inc., An RR Donnelley Company

Data Governance Specialist/Lead

Posted 19 Days Ago
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In-Office or Remote
Hiring Remotely in Warrenville, IL, USA
85K-136K Annually
Senior level
In-Office or Remote
Hiring Remotely in Warrenville, IL, USA
85K-136K Annually
Senior level
Lead the creation and operationalization of enterprise data governance to make data AI-ready: define taxonomies, metadata, data dictionaries, lineage, access rights, and quality controls; run stewardship workshops; certify data readiness for AI use cases; drive adoption and compliance with CCPA, SOX, GDPR, and HIPAA.
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Company Description

RRD is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry’s most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.

Job Description

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.

Key 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. 

Qualifications

  • Education: BA/BS degree required.
  • General Experience: 5+ years of experience in consulting or with large enterprise data governance programs preferred.
  • Data Governance Tool Experience: Experience with Collibra, Informatica’s Cloud Data Governance and Catalog (CDGC) or similar tools. Experience with MDM tools is a plus.
  • Proven Standardizer: Battle-tested in leading large scale, successful data standardization projects across messy, disparate systems.
  • Technical Authority: Deep, practical knowledge of metadata management, data observability, and enterprise taxonomy design.
  • Mindset & Leadership: A "Pragmatic Builder" focused on incremental, sustainable value delivery rather than highly disruptive transformations.
  • Exceptional Soft Skills: 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.

 

Additional Information

RRD's current salary range for this role is $85,000 to $136,000 / year. The salary range may be adjusted based on the applicable geographic location of the hired employee, and the range may change in the future. At RRD, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions may vary based upon, but not limited to education, skills, experience, proficiency, performance, shift and location. Depending on the role, in addition to base salary, the total compensation package may also include participation in a bonus, commission or incentive program. RRD’s benefit offerings include medical, dental, and vision coverage, paid time off, disability insurance, 401(k) with company match, life insurance and other voluntary supplemental insurance coverages, plus parental leave, adoption assistance, tuition assistance and employer/partner discounts.

 

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RRD is an Equal Opportunity Employer, including disability/veterans

At RRD, we value innovation, authenticity, and integrity. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools during interviews to ensure an authentic and secure experience. We appreciate your cooperation as we work to maintain a transparent and equitable hiring process.

All employment offers are contingent upon the successful completion of both a pre-employment background and drug screen.

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