Sei
Education
AssociateManager,EnterpriseAnalytics&Insights
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“Associate Manager, Enterprise Analytics & Insights at Sei. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines”
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
5+ years of experience in analytics or data science, Proficiency in SQL, Experience with Python or R, Experience with data visualization tools
Nice to Have
Master's degree or PhD, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI tools (Tableau, Power BI, Looker)
What You'll Do.
Develop and implement data models
Build and maintain data pipelines
Perform complex data analysis
Create and manage BI dashboards
Apply statistical methods
Develop and deploy machine learning models
Collaborate with stakeholders
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders
Communication Scope
Present insights; Communicate findings
Full Job 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. **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 LLM-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, the role 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
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