Senior Manager / Senior Software Engineer – Distribution Analytics, Data Products & AI

About Ameriprise Financial Services, LLC At Ameriprise Financial, we have been helping people feel more confident about their financial future for over 130 years. With extensive investment advice, asset management and insurance capabilities and a nationwide network of approximately 10,000 financial advisors*, we have the expertise to serve the full range of individual and institutional investors' financial needs.  Ameriprise has corporate locations throughout the U.S. and across the globe, and advisor offices in all 50 states.  Certain hyperlinks within Ameriprise Financial web sites or social media content may hyperlink to third-party content which we believe to be reliable however, we cannot guarantee its accuracy or completeness. For this reason, we do not endorse any linked third-party content, advertising, advice, opinions, recommendations, or other information; it's merely intended to be provided as a general source of information and is not a solicitation to buy or sell any securities, accounts, or strategies. In addition, any linked third-party content should not be used as the sole basis for any investment decisions, nor should it be construed as a recommendation or advice designed to meet the particular needs of an individual investor. Please seek the advice of a financial advisor regarding your particular financial situation.   Investment products are not insured by the FDIC, NCUA or any federal agency, are not deposits or obligations of, or guaranteed by any financial institution, and involve investment risks including possible loss of principal and fluctuation in value. Investment advisory products and services are made available through Ameriprise Financial Services, LLC, a registered investment adviser.    Securities offered by Ameriprise Financial Services, LLC. Member FINRA and SIPC. For additional important disclosures on engagement rules, linking to third party content or other risks, please visit: www.ameriprise.com/social  *Ameriprise Financial Q1 2024 Earnings Release.

Ameriprise Financial Services, LLC

Financial Planning and Investment Services

A

ameriprise.com

5,001-10,000 employees

Financial Services

Minneapolis, MN

1894

Public Company

233k LinkedIn followers

Raised $1.5B

• We are seeking a highly skilled Senior Manager / Senior Data Engineer to lead the design, development, and delivery of data products, analytics solutions, business intelligence capabilities, and AI-powered applications supporting the Asset Management Distribution organization.
• This role is a senior technical leadership position focused on transforming data into actionable insights, scalable data products, and intelligent business solutions. The successful candidate will partner closely with Distribution, Sales, Marketing, National Accounts, Client Service, and Technology teams to deliver analytics and AI capabilities that drive growth, improve productivity, and enhance decision-making.
• The ideal candidate brings deep expertise in data engineering, business intelligence, analytics, and Generative AI, combined with a strong understanding of asset management distribution, client, sales and marketing data. This role emphasizes hands-on solution delivery, technical leadership, and business partnership responsibilities.
• Success in this role: Deliver trusted data products, impactful analytics, and AI-powered capabilities that enhance business decision-making, improve productivity, and drive measurable outcomes across the Distribution organization.
• Design, develop, and deliver business-critical data products, analytics solutions, dashboards, and AI-powered applications.
• Partner with business stakeholders to define requirements, prioritize opportunities, and deliver data-driven solutions that address strategic business needs.
• Build and optimize scalable data pipelines, semantic models, and analytical data assets that support reporting, advanced analytics, and AI use cases.
• Lead the development of business intelligence solutions and executive reporting capabilities that provide insights into sales performance, client engagement, marketing effectiveness, AUM growth, and business outcomes.
• Design and implement Generative AI and Retrieval-Augmented Generation (RAG) solutions leveraging enterprise data and modern AI technologies.
• Develop reusable services, APIs, and frameworks that accelerate analytics and AI adoption across the organization.
• Ensure data quality, governance, metadata management, and consistency of business metrics across solutions.
• Provide technical leadership, architecture guidance, and mentorship to engineering and analytics teams.
• Evaluate emerging technologies and identify opportunities to enhance business capabilities through analytics, automation, and AI innovation.
• Collaborate with cross-functional teams to drive successful delivery of high-impact data and AI initiatives.

Required

• Bachelors degree in Computer Science, Engineering, related field, or equivalent relevant work experience.
• 7-10 years of relevant experienced required.
• Deep and broad technical background with 7-10+ years experience of Data Engineering, Analytics Engineering, Business Intelligence, or related disciplines.
• 3-5+ years of project management experience with a proven track record for delivering projects and driving execution.
• Demonstrated experience and success in influencing, leading, and coaching without direct leadership responsibility.
• Advanced expertise in Python, SQL, data modeling, ETL/ELT development, and cloud-based data warehousing platforms such as Snowflake or Amazon Redshift.
• Experience with BI and analytics tools such as Tableau, Power BI or similar platforms.
• Hands-on experience building AI-enabled applications using technologies such as Anthropic Claude, OpenAI, Amazon Bedrock, Azure OpenAI,Strands, AgentCore, or similar frameworks.
• Experience developing RAG solutions and integrating enterprise data into AI-powered workflows and applications.
• Strong understanding of data warehousing, dimensional modeling, semantic models, data governance, metadata management, and data quality practices.
• Demonstrated ability to lead cross-functional initiatives, influence stakeholders, and provide technical leadership and mentorship.

Preferred

• Experience in Asset Management, Wealth Management, Investment Management, or Financial Services.
• Strong understanding of asset management distribution, sales, marketing, client, account, investment, and performance data domains.
• Experience building analytics, AI, or data products for Distribution, Sales, Marketing, Client Service, or Executive leadership teams.
• Familiarity with Salesforce CRM, or similar industry platforms.
• Experience with Snowflake Cortex, semantic models, conversational analytics, AI copilots, or agentic AI solutions.
• AWS Data Engineering, Analytics, AI/ML, or Solution Architect certifications.
• Experience with MLOps, AI governance, and responsible AI frameworks.
• 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.
• The estimated base salary for this role is $131,700 - $181,000 a 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
• Exempt/Non-Exempt
• Exempt
• Job Family Group
• Technology
• Line of Business
• TECH Technology

• Vacation time
• Sick time
• 401(k)
• Health insurance
• Dental insurance
• Life insurance