Data Scientist Manager

Ameriprise; Minneapolis (MN); Híbrido; USD 107.000 - 147.000; Jornada completa

Descripción de la vacante

Ameriprise Financial is seeking a Data Scientist Manager to lead the Client Analytics team. You will own complex AI/ML projects, deploy at scale, and translate insights into business decisions for clients and advisors.

You will mentor teams, advance best practices, and collaborate with product and technology partners to ensure responsible AI governance and impactful outcomes. In-office collaboration is emphasized with hybrid work flexibility.

Formación

• Master’s degree in a quantitative discipline (Data Science, Statistics, Computer Science, Mathematics, Economics or related).
• 3–5 years of relevant experience delivering advanced analytics, machine learning, or applied AI solutions.
• Strong foundation in statistics, predictive modeling, and machine learning.
• 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 present/communicate complex, technical materials to non-technical partners.
• Ability to work effectively in a collaborative team environment and support multiple projects at one time.

Responsabilidades

• Design and implement AI and machine learning solutions addressing complex business problems in client and advisor analytics.
• Translate ambiguous business needs into clear analytical approaches by partnering with stakeholders to frame problems, define success measures, develop hypotheses, and communicate insights.
• Support the full lifecycle of data science and AI solutions from problem framing through deployment and monitoring.
• Lead the analytics strategy and enhancement of the field-facing recommendation engine with product and technology teams.
• Ensure solutions meet data, model, and AI governance standards with enterprise policies and validation.
• Mentor peers, share knowledge, and stay current on emerging AI and analytics techniques.

Conocimientos

Advanced analytics

ML & AI concepts

Data storytelling

Cross-functional collaboration

Problem solving

Educación

Master’s degree in quantitative discipline

Herramientas

AWS

Snowflake

Python

SQL

ML frameworks

Descripción del empleo

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 RiverSource 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 Data Scientist Manager to join the team supporting Client Analytics. This is a senior individual contributor role with technical and analysis leadership responsibilities. You will play an integral role in influencing client and advisor strategy and deploying AI at scale. This 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 client and advisor 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.

Required Qualifications

• Master’s degree inquantitativediscipline (i.e.,Data Science, Statistics, Computer Science, Mathematics,Economicsor a related field).

• 3-5 years of relevantexperience delivering advanced analytics, machine learning, or applied AI solutions.

• Strong foundationin statistics, predictive modeling, and machine learning.

• Provenexperience with modern data science tools, data visualization tools, andprogramming languages (e.g., Python, SQL, ML frameworks).

• Experienceworking incloud‑basedplatforms, preferably AWS or Snowflake.

• Proven ability to independently own complex problems and deliverproduction‑readysolutions.

• Proven ability to present/communicate complex, technical materials in a way thatfacilitatesdecision making and drives outcomes; ability to communicate to less technical partners.

• Ability to work effectively in a collaborative team environment and support multiple projects at one time.

Preferred Qualifications

• Experiencebuildingsolutions using LLMs, Agentic AI, RAG, and more traditional AI techniques.

• Familiarity withMLOpspractices, CI/CD formodels, and production monitoring.

• Experience using large-scale data sets.
• Familiarity with financial advisor, client, or customer analytics

• Experience working in financial services or other highly regulated industries.

In-Office Collaboration

We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Visa Sponsorship

Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

Base Pay Salary

The estimated base salary for this role is $107,000 -$147,100/ year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.

Full-Time/Part-Time

Full time

Exempt/Non-Exempt

Exempt

Job Family Group

Data

Line of Business

CSIRM Information Management

Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.