Data Insights & Analytics Director

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. The posting includes description (role overview) which could be "About the role". Then responsibilities (the bullet list). Then requirements and experience (list). Then qualifications (maybe degree). Then skills (tools). Then benefits (HR Stuff). Pay: they mention "Offer salaries commensurate with experience." That's vague, not specific; we should not include Pay section because it's not specific (commensurate with experience). Schedule: not mentioned. So we omit Pay and Schedule. We must not repeat job title as heading. No Job ID. Remove boilerplate: HR Stuff is benefits; we keep benefits. Remove EEO etc. Also remove "HR Stuff" heading? We'll use Benefits heading. We need to preserve all substantive info. Use

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

  for prose. We need to parse the posting. Let's extract sections: About the role: The first paragraph(s) describing role: "The Data Insights & Analytics Director will bring a combination of deep analytical rigor and a proven ability to sell in data insights thinking to clients and internal teams alike. In addition to building predictive models and measurement frameworks, the right candidate will build and lead a growing team, elevate the caliber of our analytics output, and make data a driving force in the firm's strategic and creative recommendations. The Data Insights & Analytics Director at Signal Theory leads our data analytics and insights function with a mandate to grow the team's capability over time. This role reports to Director of Innovation & Technology and works closely alongside business strategy, brand strategy, content, media and account teams to modernize how we deliver media, social, web, email, AEO/GEO, sales and marketing data insights. With the Data Analyst team they manage, they own the data layers, the model mechanics, the channel KPIs and provenance. The Director must be equally comfortable architecting predictive models fueled by AI and rooted in industry intelligence, seasonality, and consumer behavior, as well standing in front of client leadership to translate that thinking into confident, actionable recommendations." That's prose; we can put in

  . Responsibilities: The bullet list after "The Data Insights & Analytics Director will:" includes External / Client-Facing and Internal / Team & Capability Building sections with many items. We'll combine into a single responsibilities list? Could split but better to keep as one responsibilities section with items. We need to capture each bullet as

• . The bullet points are preceded by bold headings but we can just list them. Let's list them: External / Client-Facing: - Serve as a senior, trusted advisor to clients on measurement strategy, predictive modeling, and data-informed business decisions. - Lead client-facing presentations of dashboards, forecasts and performance insights, connecting outputs directly to clients' business goals and ROI, and clearly communicating the source and driver behind every number. - Build relationships with client leadership to proactively identify measurement needs and get ahead of evolving business goals. - Partner with new business and account teams to build data command centers that forecast business variances and outcomes. - Articulate this type of forecasting along with Signal Theory's data and analytics capabilities as a point of competitive differentiation in pitches and RFPs. - Facilitate strategic planning and QBR conversations where data insights and predictive models inform client decision-making. - Speak the language of the client's category with enough depth (channel dynamics, margin structure, purchase drivers, growth levers) to build credibility with brand and category leaders. - Connect the dots between the beginning, middle and end of advertising and marketing campaigns, grounding recommendations in both judgment and evidence. - Help client leads sell through ideas to their stakeholders with the data-fueled rationale and storytelling. Internal / Team & Capability Building: - Build, lead, and mentor the data insights team, growing it and establishing a clear career path for direct reports. - Set the strategic roadmap for the firm's analytics function, prioritizing efficiency and scalability in how media, social, email, web, AEO/GEO, sales and marketing data are collected, reported, and visualized. - Maintain the playbooks (skills and reference docs) that fuel AI-enabled data models and command centers. - Manage the agentic workflow, ensuring accuracy and consistency across clients. - Develop and maintain predictive scenario models that incorporate industry intelligence (business factors and market pressures), seasonality trends and consumer behavior to inform client and firm decision-making. - Identify and implement tools, automation, and process improvements that reduce manual reporting effort and increase the speed and consistency of insight delivery through continuously-refreshed dashboards. - Own the data governance for dashboards and models, ensuring accuracy and clarity with every figure and its source and Live/Measured/Modelled designation. Data provenance ownership includes management of permissions and confidentiality. - Translate complex modeling outputs and business data into digestible, visually compelling insights for both internal teams and clients. - Cultivate relationships and collaborate closely with strategy, media, innovation & technology, PR, content and account teams to embed analytics earlier and more deeply into campaign planning. - For each industry force identified for clients, find the measurable proxy and its source and connect these inputs to dashboards. - Create an ongoing internal training program that builds analytics fluency across the firm and helps teams connect outputs to client business value. - Cultivate relationships with account leads, discipline leads, and senior management that leads to meaningful integration of analytics into client teams and work. That's responsibilities. Requirements and experience: The bullet list after "The requirements and experience of a Data Insights & Analytics Director will need to include:" includes: - 10 to 13 years of experience in marketing and/or sales analytics, including experience building and leading an analytics team or function in ad agency or client-side environments. - Bachelor's degree in business, marketing, analytics, statistics, or a relevant field; advanced degree a plus. - Proven experience developing predictive and statistical models (e.g., forecasting, marketing mix modeling, seasonality analysis and scenario modeling based on external forces and named assumptions ) that inform strategic, creative and media decisions. - Advanced data visualization and BI proficiency (Tableau, Looker Studio, Datorama, Power BI, or similar). - Advanced knowledge of SQL, Python, or R for advanced data analysis. - Experience directing AI coding and research agents against a spec and auditing performance. - Extensive familiarity with media, social, and marketing data sources and channels, including public statistical APIs (FRED, BLS, NOAA, NASS, etc.) alongside Google Analytics, CRM/Salesforce and Meta/social platform reporting and social listening measurement. Familiarity with connecting to APIs including public endpoints and privately-accessed platforms. - A proven track record of selling-in data-driven points of view to clients and executive stakeholders, not just producing them. - An understanding and appreciation of advertising and able to use data and insight to speak to how great campaigns are effective toward achieving business goals. - Demonstrated ability to manage, mentor, and grow a team, with a genuine interest in developing talent. - Experience with quantitative and qualitative research methods, and the ability to compile and synthesize secondary and primary research. We could separate into Requirements, Qualifications, Skills. But the instruction says use headings for sections like Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide what goes where. Typically: Requirements = years of experience, etc. Qualifications = education. Skills = tools/proficiency. Let's map: Requirements: 10-13 years experience, building/leading team, proven experience developing predictive models, proven track record selling-in data-driven POV, understanding advertising, ability to manage/mentor team, experience with quantitative/qualitative research. Qualifications: Bachelor's degree in business, marketing, analytics, statistics, or relevant field; advanced degree a plus. Skills: Advanced data visualization and BI proficiency (Tableau, Looker Studio, Datorama, Power BI, or similar); Advanced knowledge of SQL, Python, or R; Experience directing AI coding and research agents; Extensive familiarity with media, social, marketing data sources and channels, including public statistical APIs; Familiarity with connecting to APIs. We could also include "Experience directing AI coding and research agents" under Skills. We need to ensure we don't create sections with filler. All have specific content. Now Benefits: The HR Stuff list: - Access to online learning platforms to continue honing your craft. - Up to $500 a year to put toward qualified wellness expenses, like your gym membership. - After one year, reimbursement of up to 50% of tuition costs for approved continuing education. - After eight years, a four-week paid sabbatical, plus a $750 reimbursement for international travel. - Of course, we also offer: - Provide health, dental and vision insurance. - Offer salaries commensurate with experience. (but we shouldn't include Pay section; but this is a benefit? It's salary info; but it's vague; we might include as part of benefits? The instruction says only include Pay section if posting actually states them. It says "Offer salaries commensurate with experience." That's not specific; we should not create Pay section. However, we could include this sentence in benefits? It's still vague. Better to omit it entirely as it's not substantive. The instruction: "Prefer a few substantive sections over many thin ones." Also "never emit a heading followed by filler/placeholder text (e.g. 'commensurate with experience', 'not specified', 'N/A', 'varies', 'TBD')". So we should not include that sentence at all. So we will omit the "Offer salaries commensurate with experience." line. - Offer both traditional and Roth 401k plans with employer matching. We should also omit the EEO boilerplate. Thus Benefits list: - Access to online learning platforms to continue honing your craft. - Up to $500 a year to put toward qualified wellness expenses, like your gym membership. - After one year, reimbursement of up to 50% of tuition costs for approved continuing education. - After eight years, a four-week paid sabbatical, plus a $750 reimbursement for international travel. - Provide health, dental and vision insurance. - Offer both traditional and Roth 401k plans with employer matching. Now we need to output HTML fragment with headings

  and content. Structure:

  About the role

  ... prose ...

  Responsibilities

  • ...
  ...

  Requirements

  • ...
  ...

  Qualifications

  ... maybe just one item? Could be

  but it's okay to use

  if single. But instruction: Use

  • for any list of duties/requirements/benefits, and

    for prose. For qualifications, it's a list (though only one item). We'll use

    • .

      Skills

      • ...
      ...

      Benefits

      • ...
      ...
      We must not include Pay or Schedule. Now ensure we preserve all substantive info. Let's craft the prose for About the role: combine the paragraphs. We'll need to be careful not to miss any details. Let's write About the role paragraph: "The Data Insights & Analytics Director will bring a combination of deep analytical rigor and a proven ability to sell in data insights thinking to clients and internal teams alike. In addition to building predictive models and measurement frameworks, the right candidate will build and lead a growing team, elevate the caliber of our analytics output, and make data a driving force in the firm's strategic and creative recommendations. The Data Insights & Analytics Director at Signal Theory leads our data analytics and insights function with a mandate to grow the team's capability over time. This role reports to the Director of Innovation & Technology and works closely alongside business strategy, brand strategy, content, media and account teams to modernize how we deliver media, social, web, email, AEO/GE