Overview

 

About Business Unit:

 

Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.

 

As a Senior Manager in our Analytics practice, you will lead a high-performing team of data scientists and analysts, driving marketing analytics and AI-powered solutions for some of the world's most recognized brands. You will be a key leader who bridges advanced analytics, Generative AI innovation, and business strategy — translating complex data into measurable impact for clients.

 

This role demands a blend of technical authority, people leadership, and client-facing gravitas. You will own end-to-end delivery of analytics programs, champion the adoption of Gen AI capabilities within the team, and act as a thought partner to seniors internally and externally.

 

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

Responsibilities

Team Leadership & People Management

• Lead, mentor, and grow a team of 8–15 data scientists, senior analysts, and analysts across multiple client engagements.
• Define team goals, manage performance reviews, and create structured development plans for team members.
• Foster a culture of analytical rigor, curiosity, and continuous learning within the team.
• Drive hiring, onboarding, and capability-building initiatives in alignment with organizational growth plans.

Analytics Strategy & Delivery

• Own the end-to-end delivery of marketing analytics programs — from scoping and solution design through execution and business impact measurement.
• Develop and govern analytical frameworks for customer segmentation, campaign attribution, propensity modeling, churn prediction, and lifetime value optimization.
• Oversee the development of predictive and ML models, ensuring scientific rigor, reproducibility, and alignment with business objectives.
• Guide teams in performing exploratory data analysis, hypothesis testing, and statistically significant reporting.
• Drive adoption of modern analytics infrastructure including cloud environments, Databricks, and scalable data pipelines.

Generative AI & Innovation

• Champion the integration of Generative AI (LLMs, RAG pipelines, prompt engineering, AI agents) into analytics workflows and client solutions.
• Lead or oversee applied Gen AI projects — including AI driven insight generation, automated reporting, personalization at scale, and conversational analytics interfaces.
• Evaluate and recommend emerging AI tools and frameworks, building POCs that can evolve into production-grade solutions.
• Collaborate with product and technology teams to embed Gen AI capabilities into the analytics platform.

Client & Stakeholder Engagement

• Serve as the senior analytics point of contact for key client accounts, building trusted relationships with VP/C-suite partners.
• Translate complex analytical outputs into clear, compelling narratives that drive strategic decisions.
• Lead QBRs, strategic reviews, and solution presentations; represent the analytics team in client workshops and pitches.
• Proactively identify new analytical opportunities within existing client accounts and contribute to business development.

Governance & Best Practices

• Establish and enforce quality standards, peer review processes, and documentation practices across the team.
• Ensure data integrity, privacy compliance, and responsible AI practices in all deliverables.
• Contribute to knowledge management — building reusable frameworks, internal toolkits, and playbooks.

Qualifications

Minimum Qualifications:

• Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or Marketing Analytics); Master's/PhD strongly preferred.
• 12+ years of progressive experience in analytics, data science, or related fields with at least 3 years in a people management or team lead capacity.
• Deep expertise in marketing analytics — customer segmentation, campaign measurement, attribution modeling, CLV, and propensity models.
• Strong proficiency in Python, SQL, and at least one visualization platform (Power BI, Tableau, or equivalent).
• Proven hands-on experience with machine learning and predictive modeling in a business context.
• Demonstrated experience with Generative AI projects LLMs, prompt engineering, RAG, or AI agent frameworks.
• Experience working in cloud environments (AWS, GCP, or Azure) and big data platforms such as Databricks or Snowflake.
• Exceptional communication and storytelling skills — ability to present to senior executives and translate technical complexity for non-technical audiences.
• Strong project management skills with the ability to manage multiple concurrent workstreams and client engagements.

Desirable Qualifications: 

• Advanced degree or equivalent experience (Master's/PhD) in Statistics, Data Science, or a related quantitative field.
• Experience with Adobe Analytics, CDP platforms, or Marketing Cloud ecosystems.
• Familiarity with MLOps practices and model deployment pipelines.
• Exposure to identity resolution, first-party data strategy, or privacy-safe analytics environments.

Experience in a consulting, MarTech, or AdTech environment working with global brands.

Additional Information

Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

 

Our pillars aren't just words. They're how we show up every day.

• People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
• Collaboration: We work together, support one another, and collectively achieve goals.
• Growth: There are endless opportunities for growth through learning, development and career advancement.
• Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
• Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

• Act with integrity
• Work together to win together
• Innovate with purpose
• Respect all voices
• Empower with accountability

These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose.

 

Epsilon is an Equal Opportunity Employer.  Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.