Director of Client Analytics & AI Strategy

Threadneedle group; Minneapolis, Northern (MN, KY); Hybrid; USD 150,000 - 206,000; Full time

Job summary

Ameriprise Financial is seeking a Director of Client Analytics to lead a data science team and translate complex models into actionable business insights that improve client outcomes. You will collaborate with senior leaders to define strategy, develop scalable analytics solutions, and advance ML, AI, and personalization initiatives within a regulated financial services environment.

The role emphasizes building a high-performing team, promoting data governance, and delivering measurable impact

Qualifications

• Master’s degree in a quantitative field (Data Science, Stats, CS, Math, Economics) required.
• 7–10 years of analytics or data science experience.
• Ability to present complex technical material to non-technical partners.
• Strong knowledge of advanced statistics, ML, and optimization techniques.
• Experience with Python, SQL, and data visualization in data-rich environments.
• Proven ability to apply both strategic and analytic techniques to business solutions.
• Ability to lead and influence in a collaborative team.

Responsibilities

• Lead a data science team and translate models into business recommendations.
• Define analytics strategy aligned to top business priorities.
• Develop and communicate scalable analytic solutions and insights.
• Leverage predictive modeling, ML, optimization, and personalization.
• Foster data governance, best practices, and cross-functional collaboration.

Skills

Data science leadership

Predictive modeling

Machine learning

Statistical analysis

Python

SQL

Data visualization

Communication to non-technical

Education

Master’s degree in quantitative discipline

Tools

CI/CD for models

Production monitoring tools

Job description

Ameriprise Financial is seeking a Director of Client Analytics to lead a data science team and translate complex models into actionable business insights that improve client outcomes. You will collaborate with senior leaders to define strategy, develop scalable analytics solutions, and advance ML, AI, and personalization initiatives within a regulated financial services environment.

The role emphasizes building a high-performing team, promoting data governance, and delivering measurable impact