Senior Vice President, Global Data Operations (R-18646)

The Senior Vice President, Global Data Operations at Dun & Bradstreet will lead the enterprise-wide operational strategy and execution across the full data lifecycle, from acquisition to customer delivery. This role ensures data reliability, trust, cost-efficiency, and scalability, while meeting rigorous regulatory, privacy, and security requirements. The SVP will build high-performing global teams, partner across departments, and drive measurable outcomes through well-defined SLAs, automation, and continuous improvement, including modernization of the data supply chain.

Must Have

• Define and execute global Data Operations strategy and operating model.
• Lead transformation of the data supply supply chain, incorporating automation and modernization.
• Set, publish, and govern SLAs for data capture, research, curation, quality monitoring, and customer delivery.
• Embed quality metrics, automation, and continuous improvement into operational processes.
• Oversee global and regional programs to improve product performance and customer satisfaction.
• Lead production operations for ingestion, matching/entity resolution, enrichment, survivorship, and publication pipelines across cloud platforms.
• Ensure resilience, observability, and cost efficiency of data pipelines.
• Oversee sourcing, evaluation, onboarding, and performance management of data suppliers and platforms.
• Ensure adherence to data governance frameworks, privacy (GDPR/CCPA), security standards, and regulatory requirements.
• Create and enforce policies for effective data management.
• 15+ years progressive experience in data operations, data engineering, production operations, or adjacent functions.
• 10+ years leading large global teams and complex programs.
• Proven track record operating mission-critical data pipelines at scale with strong SLAs, incident response, and cost governance.
• Demonstrated expertise in data analysis and data quality operations (metrics, automation, tooling).
• Familiarity with cloud data platforms (AWS, Azure), orchestration, observability, MDM/entity resolution, metadata/lineage, and data catalog.
• Strong executive communication and stakeholder management; ability to influence at the C-suite level.
• Deep understanding of data governance, privacy, and security in regulated, multi-jurisdictional environments.
• Transformation mindset and experience leading modernization initiatives.
• Bachelor’s degree.

Good to Have

• Advanced degree preferred.

Perks & Benefits

• Generous paid time off in your first year, increasing with tenure.
• Up to 16 weeks 100% paid parental leave after one year of employment.
• Paid sick time to care for yourself or family members.
• Education assistance and extensive training resources.
• Do Good Program: Paid volunteer days & donation matching.
• Competitive 401k with company matching.
• Health & wellness benefits, including discounted Wellhub membership rates.
• Medical, dental & vision insurance for you, spouse/partner & dependents.

Why We Work at Dun & Bradstreet

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers

Job Summary

The Senior Vice President, Global Data Operations leads the enterprise-wide operational strategy and execution across the full data lifecycle—from acquisition and ingestion through curation, governance, quality, deployment, and customer delivery. This role ensures our data is reliable, trusted, cost‑efficient, and available at scale, and that D&B meets rigorous regulatory, privacy, and security requirements across all regions. SVP, Global Operations builds and empowers high‑performing global teams, partners across Product, Technology, Operations, and Commercial, and drives measurable outcomes through well-defined SLAs, automation, and continuous improvement. Additionally, this role incorporates transformation leadership and operational practices including modernization of the data supply chain and continuous improvement through automation and simplification.

Essential Key Responsibilities

• Strategy & Operating Model: Define and execute the global Data Operations strategy, establishing a scalable operating model and standards that deliver operational excellence across regions and lines of business. (20%)
• Transformation Leadership: Lead transformation of the data supply chain, incorporating automation, simplification, and modernization initiatives drawn from Head of Data Management & Operations role. (15%)
• Service Management & SLAs: Set, publish, and govern SLAs for data capture, research, curation, quality monitoring, and customer delivery; ensure SLAs are agreed with business units and are met or exceeded. (10%)
• Data Quality Operations: Embed quality metrics, automation, and continuous improvement into core operational processes; oversee global and regional programs that demonstrably improve product performance and customer satisfaction. (10%)
• Platform, Pipeline & Production Operations: Lead production operations for ingestion, matching/entity resolution (including D-U-N-S® stewardship), enrichment, survivorship, and publication pipelines across cloud platforms, ensuring resilience, observability, and cost efficiency. (10%)
• Vendor & Partner Operations: Oversee sourcing, evaluation, onboarding, and performance management of data suppliers and platforms; negotiate operating SLAs and ensure secure, compliant, and scalable partner operations. (10%)
• Governance, Compliance & Risk: Ensure adherence to data governance frameworks, privacy (e.g., GDPR/CCPA), security standards, and regulatory requirements; partner with governance teams to mitigate operational risk through controls and audits. (10%)
• Create and enforce policies for effective data management.

Essential Skills and/or Certifications

• 15+ years progressive experience in data operations, data engineering, production operations, or adjacent functions; 10+ years leading large global teams and complex programs.
• Proven track record operating mission-critical data pipelines at scale with strong SLAs, incident response, and cost governance.
• Demonstrated expertise in data analysis and data quality operations (metrics, automation, tooling) and hands-on partnership with Product/Tech to drive measurable customer outcomes.
• Familiarity with cloud data platforms (AWS, Azure), orchestration, observability, MDM/entity resolution, metadata/lineage, and data catalog.
• Strong executive communication and stakeholder management; ability to influence at the C-suite level and translate business strategy into operational execution.
• Deep understanding of data governance, privacy, and security in regulated, multi-jurisdictional environments; experience designing controls and passing audits.
• Transformation mindset and experience leading modernization initiatives.
• Bachelor’s degree required; advanced degree preferred.

Physical Requirements

• Ability to sit, speak and operate telephone and/or computer for long periods of time
• Ability to handle pressure, stressful conditions, and conflict resolution
• Ability to work day, evening and/or weekend hours as needed

Benefits We Offer

• Generous paid time off in your first year, increasing with tenure.
• Up to 16 weeks 100% paid parental leave after one year of employment.
• Paid sick time to care for yourself or family members.
• Education assistance and extensive training resources.
• Do Good Program: Paid volunteer days & donation matching.
• Competitive 401k with company matching.
• Health & wellness benefits, including discounted Wellhub membership rates.
• Medical, dental & vision insurance for you, spouse/partner & dependents.

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