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 worlds 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.

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: Bachelors degree or equivalent experience in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or Marketing Analytics); Masters/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 (Masters/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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Sr Manager Data Scientist, Client Analytics

Job Description

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