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

Dun & Bradstreet•Florham Park, NJ

About The Position

The Senior Vice President, Global Data Operations leads the enterprise-wide operational strategy and execution across the full data lifecycleâfrom acquisition and ingestion through curation, governance, quality, deployment, and customer delivery. This role ensures our data is reliable, trusted, costâefficient, and available at scale, and that D&B meets rigorous regulatory, privacy, and security requirements across all regions. SVP, Global Operations builds and empowers highâperforming 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.

Requirements

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.

Nice To Haves

advanced degree preferred

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.
Transformation Leadership: Lead transformation of the data supply chain, incorporating automation, simplification, and modernization initiatives drawn from Head of Data Management & Operations role.
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.
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.
Platform, Pipeline & Production Operations: Lead production operations for ingestion, matching/entity resolution (including D-U-N-SÂ® stewardship), enrichment, survivorship, and publication pipelines across cloud platforms, ensuring resilience, observability, and cost efficiency.
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.
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.
Create and enforce policies for effective data management.