Senior Director, Analytics Advisory Services (R-19944)

We need to output HTML fragment with headings

for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. No Job ID etc. Remove boilerplate. We need to parse the posting. Content: - Intro paragraph: "Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers." That's about the company; could be "About the role"? Actually "About the role" heading is for description of role. The intro is more about company; but we can treat as "About the role" maybe includes company overview. However we need to preserve all substantive info. The role description: "The Analytics Advisory leader is a vital role in the sales process who oversees approx.. 5-7 Analytics Advisors working in conjunction with the broader D&B sales team to drive analytic revenue within existing customers and new logo prospects. Focused on coaching, mentoring and helping their team drive Analytics and D&B.AI sales all the way from Discovery through Proof stages of the sales cycle, the Analytics Advisory leader helps his analytics advisors to build the “value story” and maximize customer success. The Analytics Advisory leader is responsible for working closely with their team to gain a deep understanding of the customers’ business challenges, determining where Dun & Bradstreet’s Analytic and AI solutions can provide value, proposing the best solution(s) to meet customer needs and creating a compelling business case to close on the analytics sales opportunity. This role will be managing 5-7 analytics advisors supporting a book of ~$30M-$50M in Analytics/AI sales across regional, national and/or global accounts." That's role description. Then "Essential Responsibilities:" list bullet points. Then "Skills Needed:" includes prior work experience, analytic skills, experience with tools, 7+ years of successful sales, etc. Also "Qualitative Skills". Also "Location and Travel - Approximately 25% domestic travel." Then "Benefits We Offer" bullet list. Then other boilerplate: "All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb." etc. That's boilerplate to remove. We need sections: About the role (maybe combine intro + role description). Responsibilities (list). Requirements (maybe combine prior work experience, years of experience). Qualifications (maybe education? Not present). Skills (maybe list of skills). Benefits (list). Pay (not present). Schedule (not present). So we omit Pay and Schedule. We must not create sections with placeholder text. So we will include only sections with content. We need to use

for each section heading. Use

• for any list of duties/requirements/benefits. Use

  for prose. We must preserve all substantive information; do not invent or summarize away detail. So we need to keep details like numbers, percentages, etc. Let's extract. About the role: Could be the introductory paragraph plus role description. We'll combine into a

  maybe multiple paragraphs. But we must not duplicate content. We'll put:

  About the role

  Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

  The Analytics Advisory leader is a vital role in the sales process who oversees approx. 5-7 Analytics Advisors working in conjunction with the broader D&B sales team to drive analytic revenue within existing customers and new logo prospects. Focused on coaching, mentoring and helping their team drive Analytics and D&B.AI sales all the way from Discovery through Proof stages of the sales cycle, the Analytics Advisory leader helps his analytics advisors to build the “value story” and maximize customer success. The Analytics Advisory leader is responsible for working closely with their team to gain a deep understanding of the customers’ business challenges, determining where Dun & Bradstreet’s Analytic and AI solutions can provide value, proposing the best solution(s) to meet customer needs and creating a compelling business case to close on the analytics sales opportunity. This role will be managing 5-7 analytics advisors supporting a book of ~$30M-$50M in Analytics/AI sales across regional, national and/or global accounts.

  Now Responsibilities: list bullet points from "Essential Responsibilities:" Let's extract each bullet. The text after "Essential Responsibilities:" includes sentences separated by periods. Let's list: - Coach, mentor and lead 5-7 Analytics Advisory team to drive meaningful customer value and sustained YOY sales growth selling Dun & Bradstreet’s Analytic solutions to customers and prospect. - Work closely with the team to drive new analytic and AI business through demand creation, opportunity qualification, solution identification and value enablement. - Actively identify, prospect and develop new business opportunities within a relatively small number of existing and new accounts (heavy up-sell / cross-sell responsibilities. - Conduct business based conversations to identify stakeholders, business process, KPI”s and critical success factors around an opportunit. - Establish strong relationships with C-level and senior executives of clients and prospects within all functional areas of the business with the objective of driving greater value and business impact of our analytic and AI solution. - Achieve aggressive sales targets within the fast growing analytics marketplace. - Leverage use cases, best practices, and application knowledge to develop thorough ROI analyses for client. - Participate in Account Planning, Business Reviews & Quarterly Solution Reviews as required - Serve as a customer advocate to influence innovation roadmap and customer support initiatives. - Evangelize Dun & Bradstreet’s analytic and AI solutions to customers, internal partners, and the marketplace. - Participate in industry and company sponsored events and panels to further demonstrate thought leadership of D&B within this space. We need to fix minor typos but preserve content. We'll keep as is. Now Requirements: The posting has "Skills Needed:" which includes prior work experience, analytic skills, experience with tools, 7+ years of successful sales, etc. Also "Qualitative Skills". Also "Location and Travel - Approximately 25% domestic travel." Might be considered under Requirements or separate. Since we have no explicit "Requirements" heading, we can create a Requirements section that includes the experience requirements (years, sales experience, etc.) and maybe location/travel. Qualifications maybe not present. Skills section can include the specific skill sets (analytic skills, tools, etc.). However the instruction says use headings for Requirements, Qualifications, Skills. We need to decide what goes where. We have content: "Prior Work Experience - Demonstrated deep expertise and knowledge in the business application of analytics across various disciplines (risk, marketing, supply, etc.) Strong analytic skills – model usage and validation, data analysis and strategy design. Experience with R, SPSS, PL/SQL, Hadoop, Python, Visualization tools preferred. Experience with Databricks, Google Vertex or Claude code preferred. 7+ years of successful sales in a consultative/solution oriented team based selling environment with demonstrated customer facing experience, preferably in a selling analytic solutions to solve business. 7+ years of Proven success with driving new and existing large dollar engagements in highly complex environment. Ability to identify new opportunities with existing customers (many of whom already buy multiple D&B solutions). Ability to manage and report on opportunities throughout the various stages with in the sales pipeline. Qualitative Skills - 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. Location and Travel - Approximately 25% domestic travel." We could split: Requirements: the years of experience, sales experience, etc. Qualifications: maybe education? Not present. Skills: the specific technical skills (R, SPSS, etc.) and soft skills (communication, etc.). However the instruction says "Prefer a few substantive sections over many thin ones." So we might combine Requirements and Qualifications into one if they overlap. But we need to follow headings only when there is real specific content. If we don't have content for Qualifications, we should not include it. So we can omit Qualifications heading. Thus we will have: - About the role - Responsibilities - Requirements (includes experience, years, location/travel) - Skills (includes technical and soft skills) - Benefits We must not include Pay or Schedule. Now we need to format lists. For Requirements, we have a mix of bullet-like sentences. We can make a
  with each requirement as
  • . Let's extract each distinct requirement: - Demonstrated deep expertise and knowledge in the business application of analytics across various disciplines (risk, marketing, supply, etc.) - Strong analytic skills – model usage and validation, data analysis and strategy design. - Experience with R, SPSS, PL/SQL, Hadoop, Python, Visualization tools preferred. - Experience with Databricks, Google Vertex or Claude code preferred. - 7+ years of successful sales in a consultative/solution oriented team based selling environment with demonstrated customer facing experience, preferably in a selling analytic solutions to solve business. - 7+ years of proven success with driving new and existing large dollar engagements in highly complex environment. - Ability to identify new opportunities with existing customers (many of whom already buy multiple D&B solutions). - Ability to manage and report on opportunities throughout the various stages in the sales pipeline. - 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. - Approximately 25% domestic travel. We could also include "Location and Travel - Approximately 25% domestic travel." as a bullet. Now Skills: The posting includes "Skills Needed:" but we already used many of those as requirements. However we might separate technical skills vs soft skills. But to avoid duplication, we need to ensure we preserve all substantive information without duplication. If we put all the above in Requirements, we might be duplicating if we also put them in Skills. Better to split: Requirements: years of experience, sales experience, location/travel. Skills: technical and soft skills (analytic skills, tools, communication, etc.). Let's see. We have: Prior Work Experience - Demonstrated deep expertise and knowledge in the business application of analytics across various disciplines (risk, marketing, supply, etc.) <-- could be skill/experience. Strong analytic skills – model usage and validation, data analysis and strategy design. <-- skill. Experience with R, SPSS, PL/SQL, Hadoop, Python, Visualization tools preferred. <-- skill. Experience with Databricks, Google Vertex or Claude code preferred. <-- skill