Senior - Data scientist Manager

## Senior - Data scientist Manager Apply:
Hybrid:
Minneapolis, Minnesota:
Full time:
Posted Today:
End Date:
October 24, 2026 (28 days left to apply):
R26 _3863
** About Our Company
** We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses – Ameriprise Financial, Columbia Threadneedle Investments and River Source Insurance and Annuities.

Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.
** Job Description
** Ameriprise Financial has an opportunity for a Senior Data Scientist Manager to join the team supporting Operation Analytics. This is a senior individual contributor role with technical and analysis leadership responsibilities. You will play an integral role in influencing Service and operations strategy and deploying AI s position operates as a technical leader and trusted partner to business teams, owning complex problems end to end from solution design through production deployment and translating these solutions into actionable insights and data-driven recommendations.

** Key Responsibilities
*** Design and implement AI and machine learning solutions that address complex, real-world business problems across Service and Operation analytics, using statistical analysis, forecasting, predictive modeling, machine learning, and GenAI.
* Translate ambiguous business needs into clear analytical approaches by partnering with business stakeholders to frame problems, define success measures, develop hypotheses, and communicate actionable insights and recommendations.
* Support the full lifecycle of data science and AI solutions from problem framing, data exploration, and feature engineering through model development, validation, deployment, monitoring, and continuous improvement.
* Lead the analytics strategy and ongoing enhancement of the field-facing recommendation engine, partnering closely with product and technology teams to develop, maintain, monitor, and improve recommendation solutions that support personalization, prioritization, and business decision-making.
* Ensure solutions meet data, model, and AI governance standards by applying enterprise policies, responsible AI practices, validation expectations, documentation standards, and ongoing performance monitoring.
* Serve as a technical leader and thought partner by advancing data science best practices, identifying opportunities for scalable and automated solutions, mentoring peers through knowledge sharing, and staying current on emerging AI, machine learning, and analytics techniques.
* Deliver analytic strategy that delivers measurable business impact.  
** Required Qualifications
*** Master’s degree in quantitative discipline (i.e., Data Science, Statistics, Computer Science, Mathematics, Economics or a related field).
* 5-7 years of relevant experience delivering advanced analytics, machine learning, or applied AI solutions.
* Strong foundation in statistics, predictive modeling, and machine learning.
* Proven experience with modern data science tools, data visualization tools, and programming languages (e.g., Python, SQL, ML frameworks).
* Experience working in cloud‐based platforms, preferably AWS or Snowflake.
* Proven ability to independently own complex problems and deliver production‐ready solutions.
* Proven ability to…