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Dun & Bradstreet

Senior Director, Data Advisory Services

Dun & Bradstreet

Senior Director leading Data Advisory Services for Dun & Bradstreet. Collaborating with teams to solve client challenges and scale data advisory offerings.

Posted 7/9/2026full-timeFlorham Park • New Jersey • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Lead the Data Advisory Services function, aligning data advisory strategy with D&B’s enterprise data, analytics, and growth objectives.
  • Partner with Sales, Analytics Advisory, and Solution Architecture teams to position D&B Data and Insights as solutions to complex client business challenges and expansion opportunities.
  • Design, standardize, and scale repeatable Data Advisory Services offerings that clearly demonstrate the value of D&B data across customer use cases.
  • Guide the development of automated and agentic solutions to deliver Data Advisory Services at scale, including data stewardship, identity and matching strategies, hierarchy activation, and evaluation of new data solutions.
  • Ensure consistent, high‑quality client experiences by translating client needs into actionable insights that drive adoption, usage, retention, and incremental value.
  • Coach, mentor, and develop 8-12 Data Advisors, fostering a culture of data stewardship, innovation, and consultative excellence.
  • Execute and grow paid Data Advisory Services offerings, including evangelizing services with Sales partners to drive scalable, service‑based revenue.
  • Uphold enterprise standards for data governance, quality, and risk while advancing global data education and best‑practice sharing.

Requirements

What you’ll need
  • Demonstrated deep expertise and knowledge in Data Management strategies solving various use cases across risk, marketing, supply, etc.
  • Strong analytic skills – model usage and validation, data analysis and strategy design.
  • Hands on experience with data, analytics and visualization tools preferred.
  • Preferred - Data, analytics, or cloud certifications (e.g., AWS, Azure, GCP data or analytics credentials.
  • Preferred - Data management or governance certifications (e.g., DAMA‑CDMP, DCAM).
  • Preferred - Advanced analytics, AI/ML, or automation‑related certifications.
  • Preferred - Formal consulting or professional services training.
  • Preferred - Experience with enterprise data platforms, APIs, and system integrations.
  • Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action.
  • Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
  • Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
  • Where applicable, fluency in English and languages relevant to the working market.

Benefits

Comp & perks
  • 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.

ATS Keywords

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Hard Skills & Tools
Data StewardshipIdentity and Matching StrategiesHierarchy ActivationAutomated Solutions DevelopmentModel Usage and Validation
Soft Skills
Coaching and MentoringProblem SolvingProactive CollaborationCuriosityContinuous Growth Mindset
Certifications
AWS Data CertificationAzure Data CertificationGCP Data CertificationDAMA-CDMPDCAM