Senior Director leading Data Advisory Services at Dun & Bradstreet. Driving data advisory strategy, client insights, and team development for business growth.
Responsibilities
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
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
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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