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

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.

Key Responsibilities

• 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 Qualifications

• 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 Qualifications

• 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.

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).

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.

Base Pay Salary

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/Part-Time

Full time

Exempt/Non-Exempt

Exempt

Job Family Group

Technology

Line of Business

TECH Technology

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.