Senior Lead Data Science Consultant

We need to output HTML fragment with sections: About the role (maybe from "About this role:"), Responsibilities (the bullet list after "In this role, you will:"), Requirements (maybe Required Qualifications), Desired Qualifications maybe as part of Requirements? The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We should include sections only if posting has real specific content. We have About this role content: "Wells Fargo is seeking a Senior Lead Data Science Consultant within our analytics team for Business Banking. Learn more about our career areas and lines of business at wellsfargojobs.com". That's substantive. Responsibilities: the list after "In this role, you will:" includes many bullet-like sentences. We'll put them in

• . Requirements: Required Qualifications section includes bullet-like list. We'll put as
  • . Desired Qualifications: also content; could be separate section "Desired Qualifications" or combine with Requirements? The instruction says prefer few substantive sections over many thin ones. But we have both required and desired; they are distinct. Could combine into a single "Qualifications" section with subheadings? But only allowed headings are those listed; we could use "Qualifications" as heading and include both required and desired inside maybe as paragraphs? But they'd be lists. Could do two
    under same heading? That's okay. However they said use

    for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have a heading "Qualifications" and inside include both required and desired as separate

    maybe with a brief intro. That would reduce number of sections. We also have Benefits: list of benefits. Pay: pay range. Schedule: hybrid work schedule mentioned. Also Job Expectations includes hybrid work schedule, visa sponsorship not eligible, relocation not available, locations list. Those could be under Schedule? Actually schedule is hybrid work schedule. Locations maybe not a heading; could be placed in a paragraph under About the role? But we should preserve all substantive information. Locations are substantive; we could include them in a paragraph under About the role or maybe a separate "Locations" section not in allowed headings; but we should not create new headings not listed. So we need to fit locations somewhere else, maybe in a paragraph under About the role or under Responsibilities? Probably under About the role as additional info. Pay: we have pay range. Benefits: list. We must not include boilerplate like EEO, etc. Remove those. We must not repeat job title as heading. We must not include Job ID/requisition numbers as headings; we can fold minor metadata into short

    or drop it. The Reference Number is minor metadata; we can drop it or put in a short p. Probably drop. We must not include Posting End Date etc. That's metadata; could be short p but maybe drop. The instruction: "Do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

    or drop it." So we can drop Posting End Date, Reference Number. We must not include "Pay Range Reflected is the base pay range offered for this position..." but we need to keep the pay range. We'll put under Pay heading. We must not include "Benefits Wells Fargo provides eligible employees..." but we need to keep benefits list. We must not include "Job Expectations: Position offers a hybrid work schedule" etc. We'll capture hybrid schedule under Schedule heading. Also note visa sponsorship not eligible, relocation not available, locations list; those could be placed under a paragraph maybe under About the role or under Schedule? Probably under About the role as additional info. We must not include "commensurate with experience" etc. Not present. Now craft HTML. Structure:

    About the role

    Wells Fargo is seeking a Senior Lead Data Science Consultant within our analytics team for Business Banking. Learn more about our career areas and lines of business at wellsfargojobs.com. The role is based in multiple locations: Charlotte, NC; Minneapolis, MN; Chandler, AZ; Wilmington, DE. This position offers a hybrid work schedule, is not eligible for visa sponsorship, and relocation assistance is not available.

    Responsibilities

    • Lead the strategy and execution of highly complex, large-scale data, analytics, and AI initiatives that span multiple business and technology functions.
    • Translate ambiguous business needs into clear problem statements, scope, roadmaps, workplans, data requirements, success measures, and implementation approaches.
    • Own end-to-end initiative delivery from discovery and prioritization through implementation, adoption, and measurement of business value.
    • Coordinate dependencies, decisions, risks, issues, and escalations across business, data, technology, model development, risk, legal, compliance, and operations partners.
    • Evaluate data availability, quality, controls, technological readiness, and resource requirements needed to deliver scalable AI and analytics solutions.
    • Establish repeatable delivery frameworks, governance routines, and executive reporting that improve transparency, accountability, and time to value.
    • Act as an advisor to senior leadership to develop or influence data and AI strategies for highly complex business and technical needs.
    • Provide vision, direction, and expertise on innovative business solutions that align with enterprise priorities, risk considerations, and customer outcomes.
    • Build and maintain trusted relationships across a matrixed organization, reconcile competing priorities, and drive timely decisions and accountability.
    • Translate data and analytical findings into clear recommendations, tradeoffs, investment choices, and action plans for business and technology leaders.
    • Identify opportunities to apply AI, machine learning, automation, and advanced analytics to improve decision-making, productivity, controls, and client outcomes.
    • Serve as the primary point of coordination for senior business, data, technology, risk, and operations stakeholders across assigned initiatives.
    • Develop executive-ready communications that clearly articulate strategy, progress, business impact, decisions, risks, dependencies, and recommended actions.
    • Facilitate senior leader and governance forums, tailoring complex data and AI concepts for technical and non-technical audiences.
    • Influence without direct authority, resolve misalignment, and mobilize cross-functional teams around shared outcomes.
    • Respond to ad hoc leadership requests with concise, high-impact analysis, sound judgment, and clear recommendations.
    • Ensure initiatives adhere to applicable data management, model risk, privacy, information security, legal, compliance, and responsible AI requirements.
    • Embed appropriate controls, documentation, traceability, and monitoring throughout the initiative lifecycle.
    • Partner with control functions to identify risks early, clarify approval paths, and drive timely remediation.
    • Promote high standards for data quality, analytical rigor, explainability, and sustainable adoption.

    Qualifications

    Required Qualifications:

    • 7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
    • Significant experience leading complex data, analytics, AI, machine learning, or enterprise transformation initiatives from strategy through implementation.
    • Demonstrated program or project leadership across multiple concurrent, interdependent workstreams in a large, matrixed organization.
    • Deep understanding of enterprise data concepts, including data sourcing, quality, lineage, integration, governance, analytics, and operationalization.
    • Strong partner management skills, with a track record of building alignment and influencing business, data, technology, risk, and operations stakeholders without direct authority.
    • Executive-level written and verbal communication skills, including experience presenting complex topics, choices, risks, and recommendations to senior leaders and governance forums.
    • Ability to structure ambiguous problems, establish clear priorities, manage dependencies and escalations, and deliver outcomes under aggressive timelines.
    • Strong business acumen and judgment, with the ability to connect data and AI investments to measurable business value, enterprise goals, and risk considerations.

    Desired Qualifications:

    • 7+ years of experience in data, analytics, AI or machine learning, data engineering, product or program management, or enterprise transformation.
    • Experience leading AI-enabled capabilities, including use-case development, data readiness, model development or integration, implementation, adoption, and value measurement.
    • Working knowledge of modern data and AI ecosystems, such as cloud platforms, machine learning operations, large language models, generative AI, workflow automation, APIs, and business intelligence tools.
    • Hands-on fluency with analytical tools such as SQL, Python, R, SAS, Power BI, Tableau, or Alteryx sufficient to challenge assumptions and partner effectively with technical teams.
    • Experience in banking or financial services and familiarity with data, model, technology, operational risk, and regulatory expectations.
    • Experience defining initiative objectives, key results, roadmaps, delivery plans, operating routines, and executive-level performance reporting.
    • Bachelor’s or advanced degree in Data Science, Analytics, Computer Science, Engineering, Statistics, Mathematics, Business, or a related discipline.

    Benefits

    • Health benefits
    • 401(k) Plan
    • Paid time off
    • Disability benefits
    • Life insurance, critical illness insurance, and accident insurance
    • Parental leave
    • Critical caregiving leave
    • Discounts and savings
    • Commuter benefits
    • Tuition reimbursement
    • Scholarships for dependent children
    • Adoption reimbursement

    Pay

    $159,000.00 - $279,000.00 base pay range (may vary depending on demonstrated prior performance, skills, experience, or work location; incentive opportunities may also be available).

    Schedule

    Hybrid work schedule.

    We need to ensure we didn't include any boilerplate like EEO etc. We removed. Check for any repeated content: we included locations in About the role paragraph. Good. We included hybrid schedule in About the role and also Schedule heading; maybe redundant but okay. Could remove from About the role to avoid duplication. But we already mentioned hybrid schedule in About the role; we could keep it there and still have Schedule heading with just "Hybrid work schedule." It's okay but could be considered duplication. The instruction: preserve ALL substantive information; do not invent or summarize away detail. Duplication is not prohibited but we could avoid duplication by moving hybrid schedule only to Schedule heading and not repeat in About the role. Let's adjust: About the role paragraph will not mention hybrid schedule; we will mention locations only. Then Schedule heading will have hybrid schedule. Update About the role paragraph: remove hybrid schedule, visa sponsorship, relocation not available? Those are also metadata; maybe we should keep them somewhere. Visa sponsorship not eligible and relocation not available are also substantive? They are job expectations. Could place them under a short paragraph under About the role or maybe under Schedule? But Schedule heading is for schedule only. Could add a short paragraph under About the role for those details. Let's include them in About the role paragraph: "This position is not eligible for visa sponsorship and relocation assistance is not available." Keep locations. Thus About the role paragraph: "Wells Fargo is seeking a Senior Lead Data Science Consultant within our analytics team for Business Banking. Learn more about our career areas and lines of business at wellsfargojobs.com. The role is based in multiple locations: Charlotte, NC; Minneapolis, MN; Chandler, AZ; Wilmington, DE. This position is not eligible for