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Principal Consultant - Data Governance

Remote / Online - Candidates ideally in
Dublin, Franklin County, Ohio, 43016, USA
Listing for: Infoverity, Inc.
Remote/Work from Home position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Infoverity is a leading systems integrator and global professional services firm driven to simplify and maximize the value of their clients’ information. Founded in 2011, Infoverity provides complementary services for many digital initiatives, including MDM and PIM Strategy and Implementation, Data Governance and Analytics, Content Management, Data Integration, Enterprise Hosting, and Operational Services that help large enterprises in the retail, consumer goods, manufacturing, financial and healthcare sectors simplify and maximize the value of their information.

Infoverity, a 100% employee‑owned company, has been on the Inc. 5000, recognized by IDG’s Computerworld as one of the Best Places to Work in IT, as a Wonderful Workplace for Young Professionals and as a “Best Place to Work” by Inc. Magazine and Business First. Infoverity’s global headquarters is in Dublin, Ohio. The EMEA headquarters and Global Development Center is in Valencia, Spain.

Additional offices are located in Germany and India.

Job Description

This is a remote position.

Infoverity is seeking a skilled and motivated Principal Consultant, Data Governance to lead high‑impact client engagements and drive the successful delivery of enterprise data governance programs. In this role, you will guide clients through the design, implementation, and adoption of modern governance frameworks and technologies, particularly Informatica Cloud Data Governance and Catalog (CDGC), helping clients strengthen their data ecosystems to support digital transformation and AI initiatives.

You will work directly with business and technical stakeholders to strengthen data transparency, trust, and compliance while helping organizations maximize the value of their data assets. This position offers the opportunity to shape client strategy, influence governance maturity, and serve as a trusted advisor across diverse industries.

What You’ll Do Consulting & Client Engagement
  • Act as a trusted advisor by evaluating client challenges, identifying governance opportunities, and developing strategic recommendations.
  • Communicate complex governance concepts in actionable terms for both technical and non-technical audiences.
  • Lead workshops, assessments, and roadmap sessions, deliver governance strategies, operating models, and implement blueprints that support enterprise modernization and readiness for AI workflows.
  • Prepare high-quality client deliverables, including assessments, frameworks, playbooks, and standard operating procedures.
  • Provide thought leadership in governance trends, tool enhancements, and emerging practices to enable scalable, AI‑ready data ecosystems.
  • Strengthening client relationships through proactive communication and value‑driven engagement.
  • Advocate for the adoption of advanced governance tools such as Informatica CDGC, Collibra, and Alation.
  • Provide ongoing guidance for governance roadmaps, aligning data governance with strategic priorities such as AI and digital transformation goals.
Technical Implementation
  • Oversee comprehensive delivery of data governance initiatives, encompassing tool implementation, data quality programs, metadata management, and development of governance operating models.
  • Architect scalable solutions that seamlessly incorporate governance practices within enterprise data workflows and cloud infrastructure.
  • Lead the deployment and configuration of CDGC to support client‑specific governance strategies, fostering a data foundation aligned with compliance and AI‑optimized processes.
  • Facilitate metadata ingestion, lineage tracking, and cataloging across platforms such as Snowflake, Big Query, SQL Server, AWS, and Azure to ensure data heritage and accessibility for analytics and AI.
  • Develop and sustain business glossaries, workflow frameworks, and stewardship protocols.
  • Configure and deploy components of CDP, CDGC, and CDQ, including profiling functionalities, data quality rules, and dashboards that monitor data integrity.
  • Define and implement custom lineage solutions using advanced tools such as Informatica Cloud Data Integration (CDI) to support precise data tracking and impact analysis for AI models and analytics.
  • Integrate CDGC with…
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