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Associate Manager, Enterprise Analytics & InsightsStrategic Education, Inc • Minneapolis, Minnesota, United States
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Associate Manager, Enterprise Analytics & Insights

Strategic Education, Inc
  • US
    Minneapolis, Minnesota, United States
  • US
    Minneapolis, Minnesota, United States
Jetzt Bewerben

Über

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. The role combines people leadership, technical oversight, and strategic partnership to ensure successful execution of AI and analytics initiatives across the organization.
Essential Duties & Responsibilities This role leads, mentors, and develops a team of Data Scientists and analytics professionals while providing technical guidance, career development, and performance feedback. The position balances people leadership with hands‑on contributions, dedicating approximately half of the time to analytics, machine learning, and AI solution development. The individual establishes team standards, workflows, and best practices, and partners with business stakeholders to identify and prioritize high‑value analytics and AI opportunities aligned with organizational goals. Responsibilities include guiding the design, development, deployment, and operationalization of machine learning and large‑language‑model–powered solutions; driving generative AI use cases such as summarization, classification, embeddings, and decision support; and enabling scalable deployment through CI/CD pipelines, Airflow orchestration, and MLOps practices. The role ensures model performance, governance, and reliability, translates analytical outcomes into actionable business insights, and builds executive‑ready dashboards and data storytelling capabilities using Power BI or similar tools. Additionally, it 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, and fosters a collaborative, innovative, and continuous learning culture across the team.
Job Skills
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
Work Experience
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. For most roles travel would not be common. Travel may involve planes, car or metro. In accordance with ADA policies, reasonable accommodations regarding travel limitations can be provided. Travel will be more common for roles such as Account Executives (25 - 50%), senior leaders (10 – 20%) or Capella Core Faculty (5 – 10%).
Ability to work onsite in Corporate or Campus location (in a typical office environment) may be required based on role. If so, this would include being mobile within the office, including movement from floor‑to‑floor using elevators or stairs.
If offsite or hybrid role, must have access to work in setting which enables meeting all requirements of the role (including privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
Faculty and Federal Work Study roles require access to work in setting which enables meeting all requirements of the role (including computer, privacy, reliable internet access, phone, ability to video conference, etc.) at a remote location.
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, as well as effectively communicating with co-workers.
Must be able to work more than 40 hours per week when business needs warrant. Accommodations related to schedule may be considered.
Able to access information using a computer.
Other essential functions and marginal job functions are subject to modification.
SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.
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  • Minneapolis, Minnesota, United States

Sprachkenntnisse

  • English
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