Associate Director, Fan Intelligence & Measurement

We need to output HTML fragment with sections: About the role? The description includes a summary of responsibilities etc. We need to use

for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include sections only when posting has real, specific content. We have content for responsibilities (the "Here's a Summary Of Responsibilities" and then bullet-like paragraphs). Also we have skills and experience needed: that's qualifications/requirements/skills. We have pay range: "Hiring pay range $105,000 - $112,000 per year." Also bonus info: "Bonus: This position will be eligible for the Annual Incentive Award Program, which has a 15% target." Also benefits: "Benefits: This position will be eligible for USOPC benefits. You can view a summaryhere." Also schedule: "This Full-Time, Exempt position is intended to work 40 hours per week." Also remote location: "Here's Where You'll Work Remote". Also "Non-traditional hours on occasion, including nights and weekends". So schedule section could include work hours, remote, travel, etc. We need to avoid repeating job title as heading. No Job ID. Remove boilerplate: cookie/navigation/legal/EEO etc. There's none. We need to use

• for any list of duties/requirements/benefits. So for responsibilities we can list bullet points. For skills/experience we can list bullet points. For benefits we can list bullet points (though only one benefit line). For pay we can just put

  . For schedule we can list bullet points. We must preserve all substantive information; do not invent or summarize away detail. So we need to include all details from the posting. Let's extract sections: - About the role: maybe we can include a brief paragraph summarizing the role? The posting starts with "Are you mission-driven..." but that's more like intro. Could be considered "About the role". We'll include a

  with that motivational text? The instruction: "Use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we can have About the role section with a paragraph describing the role (the initial motivational questions and summary). We'll preserve that content. - Responsibilities: we have many bullet-like paragraphs under "Here’s How You’ll Have An Impact" with subheadings: Marketing & Fan Intelligence Strategy, Reporting & Dashboard Development, First-Party Data Analysis & Audience Profiling, Stakeholder Management & Collaboration, People & Team Leadership. We'll turn each into

  • items, maybe grouping under subheadings? But we only allowed

    for section headings, not subheadings. Could we still include

    ? Not specified; better to avoid extra headings. We can just list responsibilities as bullet points, preserving the content. Could also keep the subheadings as plain text inside

    . That's fine. - Requirements / Qualifications / Skills: The posting has "Here are the skills and experience you'll need to be effective:" then list of bullet-like items: Bachelor’s Degree..., Advanced Degree..., 7+ years..., 2+ years people leadership experience, Strong experience with: list, Preferred experience with: list, then a bunch of soft skills. We'll treat this as Skills section. Could also split into Requirements (education, experience) and Skills (technical). But we can combine into Skills section. However we have separate headings allowed: Requirements, Qualifications, Skills. We need to decide which to use. The posting includes both education/experience and skills. We could make a Requirements section for education and years experience, and a Skills section for technical and soft skills. Let's do that. Requirements: Bachelor’s Degree in Sport Business, Marketing, Finance, or a related field; Advanced Degree in Data Science, Business Intelligence, or Market Research preferred; 7+ years in marketing analytics, consumer intelligence, or related fields; 2+ years people leadership experience. Qualifications: maybe not needed; we could skip Qualifications if no distinct content. But we have "Strong experience with: SQL, Snowflake, Tableau, First-party/customer data analytics, Marketing and campaign performance analytics, Dashboard and reporting strategy, development, and optimization, KPI development and creating measurement frameworks, Audience segmentation, profiling, and behavioral analytics". That's skills. Also "Preferred experience with: Python, Streamlit, Advanced or predictive analytics, including propensity modeling, Sports, entertainment, media, or consumer-facing digital ecosystems". That's also skills/preferred. Then a bunch of soft skills: "Strategic and analytical thinker...", "Demonstrated ability to set priorities...", "Strong people leader...", "Exceptional stakeholder management...", "Exceptional storytelling and communication skills...", "Collaborative and curious mindset...", "Passion for sports and the Olympic & Paralympic Movement". Those are also skills. Thus we can have Skills section covering all those. Benefits: "Benefits: This position will be eligible for USOPC benefits. You can view a summaryhere." Also bonus info maybe part of Benefits? Could be separate Pay section includes base pay and bonus. We'll put Pay section: base pay range, bonus info. Benefits section: USOPC benefits eligibility. Schedule: "This Full-Time, Exempt position is intended to work 40 hours per week." Also "Non-traditional hours on occasion, including nights and weekends". Also "Domestic and international travel". Also "Remote". Also "Standard office equipment", "Office environment in a multi-story building on a multi-building site". Those are tools/equipment/conditions but not schedule. However schedule section could include work hours, remote, travel, occasional nights/weekends. We'll include those. Tools/Equipment/Conditions: Not required heading; we could drop or include under Schedule? But instruction: only include sections when posting has real, specific content. We have content for Tools, Equipment, & Conditions but not a standard heading; we could incorporate into Schedule or maybe a separate section like "Working Conditions". But not in allowed headings list. Better to fold into Schedule or maybe a

    under Schedule. We'll include relevant details in Schedule section: remote work, 40 hrs/week, occasional nights/weekends, domestic/international travel, standard office equipment, multi-story building. Now we need to output only HTML fragment, no /, no markdown fences. Let's craft:

    About the role

    Are you mission-driven and passionate about helping others succeed? Do you strive to lead, follow, and act with integrity? Are you the one who honors your commitments? Is building trusting relationships an integral part of why you do what you do? Do you push limits and challenge the status quo? If you answered YES, keep reading to discover how you can significantly contribute to Team USA's success! The Insights & Analytics team serves as a shared service supporting LA28, U.S. Olympic & Paralympic Committee, and related stakeholders across the Olympic & Paralympic ecosystem. The Associate Director, Fan Intelligence & Measurement will oversee the development of actionable insights around first-party fan data and marketing analytics performance to inform strategic decision making across fan engagement initiatives. This role will oversee a small but high-impact team responsible for reporting, analytics, data storytelling, dashboard development, and advanced fan data modeling. They will work closely with a diverse range of stakeholders including integrating marketing, brand strategy, content/digital product, partnerships, infrastructure, and more. This leader will provide strategic recommendations grounded in data, establish analytical standards, develop scalable reporting solutions, and ensure that insights across campaigns, audiences, and channels tell a cohesive story.

    Responsibilities

    • Define and execute the roadmap for the marketing analytics and first-party fan data pillar of the Insights & Analytics team, supporting initiatives across Team USA, LA28, and other key stakeholders.
    • Synthesize fan behavior, campaign performance, digital engagement, and audience trends into clear narratives that connect to broader brand strategy.
    • Develop repeatable and scalable KPI frameworks that ladder up to department-wide objectives, monitor brand performance, and establish defensible benchmarks and targets.
    • Deliver strategic recommendations that improve fan acquisition, engagement, retention, and monetization.
    • Serve as the subject matter expert on marketing analytics and fan intelligence, providing strategic guidance on data capture, naming conventions, data governance, measurement, analysis, and reporting.
    • Improve self-service analytics adoption across the organization and proactively identify opportunities to help stakeholders infuse data-driven insights into their daily processes.
    • Oversee a comprehensive portfolio of reporting deliverables that combine first-party fan data and omnichannel campaign performance across organic social, paid social, web, email, and other marketing channels.
    • Ensure reporting deliverables and analytical outputs are consistent, accurate, and scalable, and aligned to stakeholder needs.
    • Oversee development and maintenance of executive and operational dashboards, ensuring reporting connects to broader org objectives and enables effective decision-making.
    • Drive the evolution and modernization of reporting experiences across PPT reports, Tableau dashboards, and emerging reporting tools (e.g., Streamlit), including interactive and self-service solutions.
    • Review and elevate analytical outputs to ensure findings are appropriately contextualized, connected across data sources, and translated into clear business recommendations.
    • Collaborate with fan data platform and engineering teams to improve data accessibility, reporting infrastructure, and scalable analytics solutions.
    • Oversee the analysis, profiling, and storytelling around fans in Team USA’s first party database, including donors, merchandise purchasers, email audiences, NGB members, and other fan groups.
    • Identify opportunities to better understand and target fans through segmentation, cohort analysis, behavioral analysis, audience overlap, and performance measurement.
    • Connect first-party fan data and behavioral insights to broader Consumer Insights work, including research, survey-based segmentation, demographics, and social listening.
    • Oversee socialization of the fan narrative to internal and external stakeholders, helping them understand our fan profile and opportunities to deepen engagement.
    • Provide targeted recommendations to optimize engagement with subsets of Team USA fans across various platforms.
    • Build and optimize advanced analytics and predictive data models within Snowflake, collaborating closely with the fan data platform and engineering team.
    • Serve as the primary analytics thought partner to marketing, product, digital, partnerships, sales, and leadership teams.
    • Centralize and prioritize marketing analytics and fan data requests, balancing stakeholder needs, team capacity, and organizational priorities.
    • Partner cross-functionally across a range of internal and external stakeholders to operationalize insights into marketing and fan engagement strategies.
    • Manage and guide agency and third-party vendor relationships (e.g., paid media, web partners, consulting services), ensuring services align with internal analytics strategy and data requirements.
    • Lead presentations and insights discussions with senior stakeholders, translating analytical findings into clear, business-focused storytelling and recommendations.
    • Establish and reinforce data and measurement governance standards, partnering with department leaders and the Infrastructure team to address data quality, accessibility, and reporting needs.
    • Work collaboratively with teams across Team USA, LA28, and other key stakeholders to understand evolving analytics needs, improve existing services, and identify opportunities to increase the impact of insights.
    • Manage and mentor a team of analysts and data scientists supporting marketing analytics and first-party fan data.
    • Help determine and recommend priority workstreams based on stakeholder needs, balancing team bandwidth across various initiatives.
    • Review team’s analytical approaches, reporting, presentations, and recommendations to ensure quality, rigor, and connection to strategic objectives.
    • Coach team members to strengthen analytical thinking, business acumen, data storytelling, and stakeholder management skills.
    • Establish analytical standards, best practices, and processes that promote consistency and quality across deliverables.