Associate Manager, Enterprise Analytics & Insights

Role Description

Reporting to the Sr. Manager, Analytic Consulting in Enterprise Analytics & Insights, this person leads a team of Data Scientists focused on delivering scalable analytics, machine learning, and Generative AI solutions that drive measurable business impact. This role combines people leadership, technical oversight, and strategic partnership to ensure successful execution of AI and analytics initiatives across the organization.

• Leads, mentors, and develops a team of Data Scientists and analytics professionals.
• Provides technical guidance, career development, and performance feedback.
• Balances people leadership with hands-on contributions, dedicating approximately half of the time to analytics, machine learning, and AI solution development.
• Establishes team standards, workflows, and best practices.
• Partners with business stakeholders to identify and prioritize high-value analytics and AI opportunities aligned with organizational goals.
• Guides the design, development, deployment, and operationalization of machine learning and LLM-powered solutions.
• Drives Generative AI use cases such as summarization, classification, embeddings, and decision support.
• Enables scalable deployment through CI/CD pipelines, Airflow orchestration, and MLOps practices.
• Ensures model performance, governance, and reliability.
• Translates analytical outcomes into actionable business insights.
• Builds executive-ready dashboards and data storytelling capabilities using Power BI or similar tools.
• Collaborates cross-functionally with Engineering, Product, IT, and business teams.
• Promotes responsible AI and data governance practices.
• Drives process improvements and operational efficiencies.
• Supports hiring and onboarding.
• Fosters a collaborative, innovative, and continuous learning culture across the team.

Qualifications

• Strong leadership and team management skills with the ability to mentor and develop high-performing analytics teams.
• Expertise in machine learning, statistical modeling, and advanced analytics techniques.
• Hands-on experience with Generative AI, Large Language Models (LLMs), and related use cases (e.g., summarization, classification, retrieval, embeddings).
• Proficiency in Python (preferred), SQL, and data manipulation frameworks (e.g., pandas, NumPy).
• Experience with ML frameworks and libraries (e.g., scikit-learn, LightGBM, TensorFlow, PyTorch).
• Knowledge of MLOps practices, including model deployment, monitoring, CI/CD pipelines, and workflow orchestration (e.g., Airflow).
• Experience working with cloud platforms (e.g., GCP, Azure, AWS) for scalable analytics and AI solutions.
• Strong data visualization and storytelling skills using tools such as Power BI, Tableau, or similar platforms.
• Ability to translate complex analytical and AI concepts into clear, actionable business insights.
• Strong problem-solving and critical thinking skills with a data-driven mindset.
• Effective stakeholder management and cross-functional collaboration skills.
• Understanding of data governance, responsible AI practices, and data privacy standards.
• Ability to manage multiple priorities and drive initiatives in a fast-paced environment.

Requirements

• 5+ years of experience in data science, advanced analytics, AI, or related fields.
• 1+ years of people leadership, technical leadership, or team lead experience preferred.
• Proven experience delivering production-grade ML or AI solutions.
• Experience leading cross-functional analytics initiatives.
• Experience operationalizing GenAI or LLM-based applications preferred.

Education

• Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field required.
• Master’s degree in data science, Computer Science, Analytics, Artificial Intelligence, or a related field preferred.

Other

• Must be able to travel occasionally should a business need arise.
• Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role.
• If offsite or hybrid role, must have access to work in a setting which enables meeting all requirements of the role.
• This role may require lifting; however, reasonable accommodations will be provided in accordance with our ADA policies.
• Must be able to meet critical thinking and problem-solving aspects aligned to job duties.
• Must be able to work more than 40 hours per week when business needs warrant.
• Able to access information using a computer.

Benefits

• Comprehensive package of benefits for employees scheduled 30 hours or more per week.
• Medical, dental, vision, life and disability plans.
• Well-being incentives, parental leave, paid time off, certain paid holidays.
• Tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance.
• Entertainment and retail discounts.
• Non-exempt employees are eligible for overtime pay, if applicable.