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Ameriprise Financial Services, LLC
Ameriprise Financial Services, LLC
5 001 – 10 000 Darbuotojai
DraudimasFinansaiKonsultavimas
„Ameriprise Financial Services, LLC“ yra finansinių paslaugų įmonė, daugiausia dėmesio skirianti individualiam finansų planavimui, investavimo konsultacijoms ir draudimo sprendimams. Jos konsultantai tiesiogiai dirba su klientais, kad suprastų jų tikslus ir parengtų jiems pritaikytas strategijas. Šį darbą papildo įmonės „Investment Research Group“ tyrimai ir nuolatinė rinkų bei ekonomikos analizė. „Ameriprise“ taip pat suteikia skaitmeninę prieigą prie klientų sąskaitų ir finansinių dokumentų, daug dėmesio skirdama saugumui internete ir privatumui.
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Darbai įmonėje

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.

USJungtinės ValstijosMAMasačusetsas
131 700 $ – 181 000 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų analitikas
Amazon RedshiftAWSAzureDebesijaETLPythonSQLTableau

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

  • 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.

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