Associate Manager, Enterprise Analytics, Insights

This is a fully remote position, open to applicants in Minnesota.

📋 Description

• Leads, mentors, and nurtures a team of Data Scientists and analytics experts.

• Offers technical direction, career growth support, and performance evaluations.

• Balances leadership responsibilities with hands-on work, allocating about half of the time to analytics, machine learning, and AI solution development.

• Establishes team standards, workflows, and best practices.

• Collaborates with business stakeholders to identify and prioritize high-impact analytics and AI initiatives that align with organizational objectives.

• Oversees the design, development, deployment, and operationalization of machine learning and LLM-powered solutions.

• Champions Generative AI use cases such as summarization, classification, embeddings, and decision support.

• Facilitates scalable deployment through CI/CD pipelines, Airflow orchestration, and MLOps methodologies.

• Ensures model performance, governance, and reliability.

• Converts analytical results into actionable business insights.

• Develops executive-ready dashboards and data storytelling capabilities using Power BI or similar tools.

• Works collaboratively across Engineering, Product, IT, and business teams.

• Advocates for responsible AI and data governance practices.

• Promotes process enhancements and operational efficiencies.

• Assists in the hiring and onboarding processes.

• Cultivates a collaborative, innovative, and continuous learning atmosphere within the team.

⛳️ Requirements

• Over 5 years of experience in data science, advanced analytics, AI, or related domains.

• At least 1 year of experience in people leadership, technical leadership, or as a team lead is preferred.

• Demonstrated experience in delivering production-level ML or AI solutions.

• Experience in leading cross-functional analytics projects.

• Preferably experienced in operationalizing GenAI or LLM-based applications.

• Strong leadership and team management abilities with a focus on mentoring and developing high-performing analytics teams.

• Proficient in machine learning, statistical modeling, and advanced analytics techniques.

• Practical experience with Generative AI, Large Language Models (LLMs), and associated use cases (e.g., summarization, classification, retrieval, embeddings).

• Proficient 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 capabilities using tools such as Power BI, Tableau, or similar platforms.

• Ability to translate complex analytical and AI concepts into clear and actionable business insights.

• Exceptional problem-solving and critical thinking skills with a data-driven approach.

• Effective stakeholder management and cross-functional collaboration abilities.

• Understanding of data governance, responsible AI practices, and data privacy standards.

• Capacity to manage multiple priorities and drive initiatives in a fast-paced setting.

🏝️ Benefits

• Health insurance.

• Dental and vision plans.

• Life and disability insurance plans.

• Well-being incentives.

• Parental leave.

• Paid time off.

• Certain paid holidays.

• Tax-saving accounts (FSA, HSA).

• 401(k) retirement plan.

• Employee Stock Purchase Plan.

• Tuition assistance.

• Discounts on entertainment and retail.