Ameriprise Financial Services, LLC एक वित्तीय सेवा कंपनी है, जो व्यक्तिगत वित्तीय योजना, निवेश मार्गदर्शन और बीमा समाधानों पर केंद्रित है। इसके सलाहकार ग्राहकों के साथ सीधे काम करके उनके लक्ष्यों को समझते हैं और उनके लिए उपयुक्त रणनीतियाँ तैयार करते हैं। इन रणनीतियों को कंपनी के Investment Research Group के शोध तथा बाज़ार और अर्थव्यवस्था के निरंतर विश्लेषण का समर्थन प्राप्त होता है। Ameriprise ग्राहकों को अपने खातों और वित्तीय दस्तावेज़ों तक डिजिटल पहुँच भी प्रदान करती है और ऑनलाइन सुरक्षा व गोपनीयता पर विशेष ध्यान देती है।
Senior Manager, Data Products and AI Engineering
Lead technical delivery of analytics, data products, and AI applications for Ameriprise Financial’s asset management distribution business. Guide data engineering, business intelligence, generative AI, and retrieval-augmented generation initiatives.
संयुक्त राज्य
मैसाचुसेट्स$1,31,700 – $1,81,000 / वर्ष
हाइब्रिडपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीडेटा विश्लेषकविवरण
- Direct development of data products, analytics, business intelligence, and AI applications for asset management distribution.
- Turn data into actionable insights, scalable products, and intelligent business solutions.
- Work with Distribution, Sales, Marketing, National Accounts, Client Service, and Technology teams.
- Deliver critical data products, analytics solutions, dashboards, and AI applications.
- Set requirements and priorities with stakeholders, then deliver data-driven solutions.
- Build and improve scalable data pipelines, semantic models, and analytical data assets.
- Lead business intelligence and executive reporting on sales performance, client engagement, marketing effectiveness, AUM growth, and business outcomes.
- Create generative AI and retrieval-augmented generation solutions using enterprise data and modern AI technologies.
- Build reusable services, APIs, and frameworks that expand analytics and AI adoption.
- Maintain data quality, governance, metadata, and consistent business metrics.
- Guide architecture and provide technical leadership and mentorship to engineering and analytics teams.
- Assess emerging technologies and find opportunities for analytics, automation, and AI innovation.
- Coordinate cross-functional delivery of high-impact data and AI initiatives.
आवश्यकताएँ
- Bachelor’s degree in computer science, engineering, or a related field, or equivalent relevant work experience.
- 7–10 years of relevant experience.
- 7–10 or more years in data engineering, analytics engineering, business intelligence, or a related discipline.
- 3–5 or more years managing projects, with a record of delivering projects and driving execution.
- Ability to influence, lead, and coach without direct supervisory responsibility.
- Advanced Python, SQL, data modeling, and ETL/ELT skills, plus cloud data warehousing experience with platforms such as Snowflake or Amazon Redshift.
- Experience with Tableau, Power BI, or comparable business intelligence and analytics tools.
- Practical experience building AI-enabled applications with tools such as Anthropic Claude, OpenAI, Amazon Bedrock, Azure OpenAI, Strands, AgentCore, or similar frameworks.
- Experience building retrieval-augmented generation solutions and connecting enterprise data to AI workflows and applications.
- Strong knowledge of data warehousing, dimensional and semantic modeling, data governance, metadata management, and data quality.
- Ability to lead cross-functional initiatives, influence stakeholders, and provide technical leadership and mentorship.
- Authorized to work in the United States without requiring employment visa sponsorship now or in the future.
- Preferred: background in asset management, wealth management, investment management, or financial services.
- Preferred: knowledge of asset management distribution, sales, marketing, client, account, investment, and performance data.
- Preferred: experience building analytics, AI, or data products for distribution, sales, marketing, client service, or executive teams.
- Preferred: familiarity with Salesforce CRM or comparable industry platforms.
- Preferred: experience with Snowflake Cortex, semantic models, conversational analytics, AI copilots, or agentic AI.
- Preferred: AWS certification in data engineering, analytics, AI/ML, or solution architecture.
- Preferred: experience with MLOps, AI governance, and responsible AI frameworks.
लाभ
- Variable compensation may include a bonus, commissions, and/or long-term incentives, depending on the role.
- Vacation time.
- Sick time.
- 401(k).
- Health insurance.
- Dental insurance.
- Life insurance.
- Flexible work arrangement with one work-from-home day per week.
- Reasonable accommodations during recruitment and interviews.