Vice President Digital Marketing Analytics - Card Data Analytics

We need to output HTML fragment with sections using

for headings: 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. Must not include Job ID etc. Remove boilerplate like EEO, legal, etc. Must preserve all substantive info. We need to parse the job description. Content: Job Description paragraph: "You will help shape digital marketing strategy through rigorous analysis, experimentation, and clear storytelling that drives business outcomes. You will work with partners across Marketing, Finance, Product, and Technology to turn complex questions into measurable actions. You will grow and lead a high-performing analytics team, building scalable, reliable ways of working that improve how marketing decisions are made. As a Vice President, Digital Marketing Analytics at JPMorganChase within the Digital Marketing Analytics team, you will lead quantitative research and experimentation to optimize marketing performance and customer experiences. You will translate customer behavior and campaign performance into insights that leaders can act on, and you will build team capability through coaching, hiring, and a culture of scientific rigor and responsible use of advanced analytics. You will take a pragmatic approach to generative AI and large language models (LLMs) as complementary tools, while relying on classical statistical and causal methods for core measurement and optimization workstreams." That's about the role. So we can have

About the role

with that paragraph(s). Could split into

. Job Responsibilities: list bullet points. Responsibilities list: - Deliver effective quantitative problem solving and analytical research to support key digital marketing initiatives - Apply deep business understanding and advanced analytical techniques to drive research, experimentation, and measurable outcomes - Lead, mentor, hire, and develop a high-performing analytics team; promote scientific rigor, ethical AI, and continuous learning - Maintain a pragmatic approach to generative AI and large language models (LLMs) as complementary tools, prioritizing classical statistical methods for core measurement and optimization workstream - Partner with cross-functional teams (for example, Marketing and Finance) to drive insights into action and deliver business impact - Design and implement scalable, reliable analytics processes to optimize business outcomes - Conduct extensive analysis of marketing performance, measurement configuration and settings, and customer behavior to improve channel strategies and optimization using advanced quantitative methods - Own and support strategic measurement initiatives, including effectiveness evaluation and profit and loss analysis; quantify statistical and practical significance - Solve unstructured business problems and develop deep-dive analyses of customer behavior using multiple analytics and statistical techniques - Conduct hypothesis testing and advanced experimental design (A/B and multivariate tests) to measure the impact and effectiveness of marketing strategies We need to put these in

• . Required Qualifications, Capabilities And Skills: list. Let's extract: - Graduate or post-graduate degree in a quantitative discipline (for example, Computer Science, Statistics, Mathematics, Finance, Economics, Data Analytics, or Machine Learning) - 5+ years of hands-on analytics experience in banking strategic analytics - Hands-on proficiency with Python and SQL; experience with visualization tools (for example, Tableau) and analytics tools (for example, Alteryx) - Experience with Adobe Analytics (implementation, reporting, and insight generation) - Strong statistical or econometric foundation with hands-on experimentation and measurement experience, including A/B testing, causal inference, and experimentation frameworks - Strong advanced analytics skills using SAS, Python, or R - Excellent communication skills with the ability to translate complex models into clear explanations and reason codes, influencing cross-functional stakeholders and senior leadership - Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs - Ability to evaluate opportunities to apply AI, generative AI, and intelligent automation to improve investigative analysis, documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency - Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, calibration and threshold optimization, and imbalanced learning We need to decide sections: Could combine Qualifications and Skills? The instruction says use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to decide which sections have content. We have "Required Qualifications, Capabilities And Skills" which could be split into Qualifications and Skills. But we could also put all under Qualifications (or Skills). The instruction: "Prefer a few substantive sections over many thin ones." So we might combine Qualifications and Skills into one section, maybe "Qualifications". Or we could have "Qualifications" and "Skills" separate if there is distinct content. Let's see: The list includes education, experience, technical proficiencies, soft skills, etc. Could separate: Qualifications (education, years experience) and Skills (technical proficiencies). But we need to avoid thin sections. Might be okay to have two sections if each has decent content. We also have "Preferred Qualifications, Capabilities And Skills" list: - Proficiency in big data extract, transform, and load processes across structured and unstructured data sources - Professional experience with AWS, Spark or EMR, and Snowflake - Experience with Confluence and generative AI tools (for example, ChatGPT), subject to firm-approved usage - People leadership experience, including recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture - Strong understanding of IT processes and databases, with the ability to work directly with data owners and custodians These could go under "Preferred Qualifications" maybe as part of Qualifications section, but we could just include them under Qualifications as well. We also have "About Us" and "About The Team" paragraphs. Those could go under "About the role"? Actually "About Us" is company description; "About The Team" is team description. Could be part of "About the role" or separate? The instruction says use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So "About Us" and "About The Team" could be considered part of "About the role" (company/team context). We'll include them in About the role section. We need to exclude boilerplate: EEO, equal opportunity, legal, scam warning, etc. Also remove "Additional details about total compensation and benefits will be provided during the hiring process." That's vague; we should not create Benefits/Pay/Schedule sections unless posting actually states them. The posting mentions: "We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more." Thus there is some content about benefits and pay. So we can include Benefits and Pay sections. However we must not include filler like "commensurate with experience". The posting does give specifics: base salary determined based on role, experience, skill set and location; commission-based pay and/or discretionary incentive compensation; benefits list. That's substantive enough. Schedule: not mentioned. So we should not create Schedule section. Thus sections: About the role, Responsibilities, Qualifications (maybe combine required and preferred), Skills (maybe separate), Benefits, Pay. But we need to avoid thin sections. Let's see if we can combine Qualifications and Skills into one "Qualifications" section that includes both required and preferred qualifications and skills. That would be substantive. Alternatively, we could have "Qualifications" for required qualifications, and "Preferred Qualifications" as a subsection? But we only allowed headings list; we could still use

  Preferred Qualifications

  if we want, but not in the list? The instruction says use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It doesn't forbid other headings, but says "use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It implies those are examples; we could still use other headings but better to stick to those. We'll stick to those. Thus we need to map content to those headings. We have: - About the role: includes job description paragraph, plus About Us and About The Team. - Responsibilities: list. - Qualifications: includes required qualifications (education, experience, technical skills, soft skills) and preferred qualifications (big data, AWS, etc.) plus maybe skills. - Skills: maybe we could separate technical skills from soft skills? But we already included them in Qualifications. Could also have Skills section for things like "Proficiency in Python and SQL; experience with Tableau and Alteryx; Experience with Adobe Analytics; Strong statistical foundation; Strong advanced analytics skills using SAS, Python, or R; Excellent communication skills; Exposure to enterprise AI enablement; Ability to evaluate AI opportunities; Familiarity with supervised learning, etc." That's a lot. But we already have them in Qualifications. To avoid thin sections, maybe we just have Qualifications and Skills combined? But we need to decide. Given the instruction to prefer few substantive sections over many thin ones, we could have: - About the role - Responsibilities - Qualifications (covers required and preferred qualifications, skills) - Benefits - Pay That's 5 sections. We must not include Requirements heading if we don't have separate content; we can omit. Now we need to format. We'll produce:

  About the role

  ... (combined paragraphs)

  Responsibilities

  • ...
  ...

  Qualifications

  • ...
  ...

  Benefits

  • ...
  ...

  Pay

  ... (pay description)

  We need to ensure we preserve all substantive info. Let's craft About the role paragraph(s). We'll combine: - Job Description paragraph (first paragraph) - About Us paragraph(s) - About The Team paragraph(s) We need to keep them as separate

  maybe. Job Description paragraph: "You will help shape digital marketing strategy through rigorous analysis, experimentation, and clear storytelling that drives business outcomes. You will work with partners across Marketing, Finance, Product, and Technology to turn complex questions into measurable actions. You will grow and lead a high-performing analytics team, building scalable, reliable ways of working that improve how marketing decisions are made. As a Vice President, Digital Marketing Analytics at JPMorganChase within the Digital Marketing Analytics team, you will lead quantitative research and experimentation to optimize marketing performance and customer experiences. You will translate customer behavior and campaign performance into insights that leaders can act on, and you will build team capability through coaching, hiring, and a culture of scientific rigor and responsible use of advanced analytics. You will take a pragmatic approach to generative AI and large language models (LLMs) as complementary tools, while relying on classical statistical and causal methods for core measurement and optimization workstreams." About Us: "Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement,