Hire(d) better.
Hire(d) better.
Hire(d) better.
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.
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.
Results oriented, self-starter who is able to effectively influence across multiple role levels, drive priorities and own outcomes in a matrixed environment.
Ability to problem solve and clearly communicate alternative solutions that map to our core analytics assets and solve the customers’ business needs.
Proven track-record of success in a team selling environment.
Demonstrated ability to gain deep understanding of customers goals and objectives and in turn develop and carry vision through the organization.
Ability to provide clear, precise and effective communication in written and verbal format to both internal and external audiences.
Strong communication, interpersonal, planning and problem-solving skills.
Bachelor’s degree in a related field (e.g., Data, Analytics, Computer Science, Information Systems, Business, or equivalent experience).
Min. 5-8 Yrs of experience in Data Management
25% Travel.
This position is work from home and could be located in NJ, Center Valley, Austin or JAX with ease of access to D&B offices.
Will AI replace this role?
Check AI displacement risk, transferable skills, and career alternatives for Senior Director, Data Advisory Services (R-19009)
The Senior Director, Data Advisory Services (R-19009) position at Dnb is based in Florham Park - New Jersey - United States. This is an on-site position.
The Senior Director, Data Advisory Services (R-19009) position at Dnb is a Full time role.
Key skills for the Senior Director, Data Advisory Services (R-19009) position at Dnb include: aws, azure, google cloud, machine learning.
