Associate Director, Analytics

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About The Role

As an Associate Director, Analytics, you will lead complex analytics and data science engagements, bringing together strong quantitative expertise, strategic thinking, and client leadership.

This role requires a strong foundation in data science and advanced analytics. You should be comfortable working with sophisticated analytical methodologies, evaluating data science approaches and outputs, and translating complex quantitative findings into clear business recommendations.

At the Associate Director level, you will also lead teams and workstreams, influence senior stakeholders, and help shape the analytical approach to complex client challenges. You may not be coding or building models every day, but you should have sufficient data science depth to credibly guide the work and challenge the methodology.

Responsibilities

Data Science & Advanced Analytics

Lead advanced analytics and data science work across complex client engagements. Apply and guide approaches such as statistical modeling, predictive analytics, experimentation, segmentation, forecasting, machine learning, or other advanced quantitative methodologies as appropriate to the business problem.

Evaluate analytical approaches and outputs, identify limitations and opportunities, and ensure that methodologies are rigorous, actionable, and connected to client objectives.

Complex Program & Engagement Leadership

Lead complex analytics projects or programs end to end across one or more accounts—shaping the analytical approach, orchestrating cross-functional teams, and owning outcomes at a senior level.

Strategic Analytics & Client Advisory

Translate sophisticated analysis and data science outputs into clear business implications and recommendations. Connect analytical findings to the client's broader marketing and business agenda.

Serve as a senior analytics partner to clients and internal stakeholders, helping frame ambiguous business questions into analytical problems that can be solved with data.

Team & Technical Leadership

Lead and develop analytics and data science talent, set expectations for analytical quality, and provide guidance on methodologies and approaches across multiple workstreams.

Partner effectively with data scientists, analysts, media teams, strategists, engineers, and other specialists to deliver integrated solutions.

Early Account Economics

Take first-line accountability for the economics of your workstreams—including utilization, scope discipline, and margin within your remit—and partner with account leadership on planning and resourcing.

Client Advisory & Growth

Build credible senior client relationships and identify opportunities where analytics, data science, measurement, or AI capabilities can address additional client needs.

AI-Enabled Delivery & Innovation

Identify qualified AI use cases and opportunities to incorporate AI-enabled approaches into analytics and measurement. Help evaluate where emerging technologies can create measurable value rather than applying AI for its own sake.

About You

The Essentials

7+ years of experience in analytics, data science, quantitative consulting, measurement, or a related field across an agency, consultancy, holding company, technology company, or sophisticated in-house environment
Demonstrated data science experience is required, with a strong understanding of advanced quantitative methodologies such as statistical modeling, predictive analytics, experimentation, machine learning, forecasting, segmentation, or related approaches
Experience leading complex analytics or data science projects from business problem definition through analysis, interpretation, and recommendation
Ability to evaluate and guide sophisticated analytical work, including methodology, assumptions, limitations, and business implications
Ability to translate complex quantitative findings into clear, actionable recommendations for non-technical and senior audiences
Experience partnering with or leading data scientists, analysts, and other technical specialists
Experience leading and developing teams
Demonstrated influence across functions, client teams, or portfolios
Credible senior client relationships and the ability to advise, not just deliver
Emerging account-economics literacy, including utilization, scope, and margin within a remit

Strong Plus

Hands-on experience with programming and analytical tools such as SQL, Python, R, or similar
Experience with experimentation, causal inference, marketing measurement, incrementality, attribution, or other advanced measurement approaches
Experience applying machine learning or predictive modeling to marketing or business problems
Experience integrating GenAI or agentic platforms with measurable outcomes
Quantified contribution to account growth or scope expansion
Recognized domain authority through frameworks, methodologies, or thought leadership
Experience developing reusable analytical methodologies, tools, or accelerators
Senior platform partnership experience with Google, Meta, Adobe, Amazon, or similar
Cross-domain experience across more than one IMA practice area

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgroun