Associate Manager, Enterprise Analytics, Insights
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Job Description
Associate Manager leading a team of Data Scientists focused on analytics, machine learning, and AI solutions. Collaborating with stakeholders to drive business impact through innovative data solutions.
Responsibilities:
- 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
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
- 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
Benefits:
- Health insurance
- Dental and vision plans
- 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
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