Director, Analytics (Data Science)

Responsibilities

• Create professional relationships with the many members of your internal and client team(s) while being solely responsible for the level of quality in communications and results for the entire team that serves on your client's behalf.
• Work throughout the year with internal and external (client team, partner agencies/consulting groups) partners to create measurement plans/proposals that satisfy all client goals and address challenges/opportunities with clearly defined goals and definitions of program success.
• Carefully manage the many internal data sources and (where applicable) third-party vendors/data streams that comprise our custom measurement platform while keeping process on task within the established timelines and delivery dates.
• Synthesize the available data into insights about how successfully our programs transform target audience behavior. Find opportunities for program optimization and improvement.
• Be a strategic consultant using the aforementioned insights as the foundation for presentations, reports, assorted client deliverables in either a face-to-face or virtual setting.
• Identify areas of opportunity to expand our presence through consultative selling at current clients while periodically participating in the any new business development opportunities as they arise.
• Understand client needs and internal operations to achieve success for the client and team.
• Provide strategic review of your team's work to ensure deliverables are on time, data cleanliness & clean presentation of story is presented, and overall, of high quality.
• Collaborate with people across the organization, affect positive change, understand competitive offerings, identify needs to get projects moving and keep them moving forward with our teams.
• Independently provide POV for clients or our teams, while sourcing or researching any needed information to inform decision-making in consideration of business rules.
• Manage a team, teaching process and providing a growth path for direct reports while managing their workload for success.
• Advanced Analytics & Measurement
  - Lead development and application of statistical and predictive models to measure campaign performance.
  - Design and oversee A/B, incrementality, and experimental frameworks.
  - Apply and interpret Marketing Mix Modeling (MMM), including rapid MMM approaches.
  - Leverage clean room environments (e.g., Snowflake, Google ADH, Meta) for measurement, audience analysis, and data collaboration.
  - Translate complex modeling outputs into clear, actionable business insights for clients.
• People & Team Development
  - Manage and mentor Analytics Associate Directors, Managers and Senior Analysts, focusing on building the team’s capabilities, especially around large data analysis, measurement, and data visualization.
  - Prepare the team for eventual direct reports and play a key role in the team’s growth, which will align with new brand initiatives and internal shifts.
  - Participate in talent recruiting and retention efforts.
  - Foster a culture of continuous learning and collaboration within the team, with an emphasis on capability-building and teaching.
  - Collaborate across a broad range of agency collaborators, including business intelligence, media, content, engineering, and planning, in the development and refinement of capabilities.
  - Lead capability-building efforts within the team, sharing expertise in large datasets, measurement techniques, and technical skills like Python, SQL, and Excel.
  - Drive forward-thinking analytics across the organization, using insights to guide operational transformation.
  - Manage prioritization and allocation of resources across projects and teams.

Qualifications

• 8 to 10 years of experience in data science, advanced analytics, and statistical modeling
• 5-6 years of client-facing/consulting experience and 2-4 years of management experience
• Literacy of business intelligence software such as Datorama, Tableau, Power BI, Adobe, Google, etc.
• Advanced SQL proficiency, including complex joins, window functions, and pathing analysis across user journeys
• Programming experience in Python or R for modeling and advanced analysis
• Hands-on experience with clean room environments (Snowflake, Google ADH, Meta, etc.)
• Experience designing and executing A/B and incrementality tests
• Exposure to or experience with Marketing Mix Modeling (MMM)
• Proven ability to lead and grow analytics teams, develop strategic client solutions, and influence senior decision-makers
• Degree in marketing, statistics, mathematics, or economics. An MBA or advanced degree is a plus.