Senior Manager, Agentic AI Transformation (Banking & Capital Markets)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: United States; candidates must reside within a reasonable commuting distance of a office or approved coworking location. Regular work from a office or approved coworking location is expected at least three days per week between client engagements, with onsite client work based on engagement needs. Offices and coworking arrangements are available in New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, and Washington D.C. Applicants must already be legally authorized to work in the United States. Visa sponsorship is not available.
Salary: $200,000–$235,000 per year, plus annual performance and uncapped personal sales bonuses.
Company
is a global management consulting group combining strategy, management consulting, data science, creativity, and technology transformation services.
What you will do
- Lead client advisory and end-to-end delivery of complex agentic AI workflows across capital markets, asset management, wealth management, and corporate banking.
- Translate institutional challenges into technical requirements, target operating models, solution blueprints, and execution roadmaps.
- Manage cross-functional teams spanning business, data science, IT infrastructure, risk, and compliance.
- Design AI governance, observability, monitoring, auditability, guardrails, and model risk management frameworks.
- Advise executives on enterprise LLM strategy, build-versus-buy decisions, and secure deployment across AWS Bedrock, Azure OpenAI, and GCP Vertex AI.
- Develop commercial opportunities, proposals, statements of work, RFP responses, thought leadership, and industry content.
Requirements
- 7–10 years of experience in management consulting or banking transformation, focused on Tier-1 banking, capital markets, asset management, or wealth management.
- Experience designing and deploying agentic AI solutions involving multi-agent orchestration, semantic routing, autonomous workflows, and frameworks such as AutoGen, LangGraph, and CrewAI.
- Strong knowledge of enterprise LLM selection, prompt engineering, fine-tuning, and integration across Azure, GCP, and AWS Bedrock.
- Hands-on experience with LLM and agent observability, tracing, guardrails, auditability, model risk management, data privacy, security, and financial services regulatory controls.
- Proven ability to originate business opportunities, shape consulting solutions, build client relationships, and convert opportunities into sold work.
- U.S. work authorization is required; visa sponsorship is not available.
Nice to have
- Advanced degree in computer science, data science, financial engineering, or a highly quantitative business discipline.
- Cloud, data platform, or AI governance certifications, including AWS Certified Solutions Architect, Azure AI Engineer, or Databricks certifications.
Culture & Benefits
- In-person collaboration through offices, approved coworking locations, and client sites.
- Medical, dental, and vision coverage, company-paid life and AD&D insurance, supplemental insurance, and an employee assistance program.
- 401(k) with company match and immediate vesting, plus HSA and FSA options.
- Paid parental leave, generous PTO, nine company holidays, and one floating holiday.
- Professional development programs, college savings and student loan repayment programs, and a cell phone stipend.
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