Senior Director of Enterprise Strategy at Zelis modernizing healthcare financial experiences. Driving strategic development and competitive positioning across various business units.
About the role
- Senior Director leading Data Advisory Services at Dun & Bradstreet. Partnering with teams to solve complex client business challenges and drive data adoption.
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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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