Senior Manager, Agentic AI Transformation - Banking & Capital Markets

Job Description

As a Senior Manager supporting our AI Transformation & Technology service offering, specializing in Agentic AI within banking and capital markets, this role will lead client engagements focused to transform architectural concepts into high-performing, resilient, production-grade autonomous agent ecosystems. The ideal candidate combines strong Agentic AI management capabilities with consulting experience and deep knowledge of banking and capital markets.

Responsibilities

• Client Advisory & Delivery Leadership: Lead client advisory and end-to-end delivery of complex Agentic AI workflows across Capital Markets, Asset Management, Wealth Management, and Corporate Banking, including multi-agent orchestration, autonomous decision-making loops, and advanced RAG integration, while translating ambiguous institutional challenges into technical requirements, target operating models, solution blueprints, and strategic execution roadmaps, and managing cross-functional teams across business, data science, IT infrastructure, risk, and compliance.
• AI Governance, Risk & Compliance: Lead AI governance, risk, and compliance for agentic AI deployments by aligning solutions to financial services regulatory expectations, including SR 11-7, OCC guidance, Treasury AI risk management principles, and emerging SEC/EU AI Act requirements, while designing production-grade observability, monitoring, and auditability frameworks to manage non-deterministic behavior, hallucination risk, agent-to-agent interactions, and Model Risk Management validation.
• Technology Evaluation & Ecosystem Integration: Advise client executives on AI technology strategy and optimal platform choices, including build-versus-buy analyses across enterprise Large Language Models, LLM harnesses, open-source foundational models, and specialized developer frameworks, while formulating secure and scalable deployment architectures across AWS Bedrock, Azure OpenAI, and GCP Vertex AI with appropriate data ingestion, security, and runtime controls.
• Practice Development & Commercial Growth: Drive AI Transformation practice growth by developing commercial opportunities, authoring proposals, structuring SOWs, and leading competitive RFP responses, while contributing to Sia’s thought leadership, intellectual property, white papers, and industry forums focused on Agentic AI operationalization in banking.

Qualifications

• Must-Have Technical & Professional Experience:
  • Financial Services Expertise: Minimum of 7–10 years of professional experience within Management Consulting or an internal banking transformation function, with an exclusive focus on Tier-1 Banking, Capital Markets, or Asset /Wealth Management environments.
  • Agentic AI Architecture & Delivery: Proven experience designing and deploying Agentic AI solutions beyond basic chatbots, including multi-agent orchestration, semantic routing, autonomous workflows, and frameworks such as AutoGen, LangGraph, and CrewAI.
  • LLM, Cloud & Platform Proficiency: Strong understanding of enterprise LLM selection, prompt engineering, fine-tuning approaches, and integration across major hyperscaler platforms, including Azure, GCP, and AWS Bedrock.
  • Observability, Guardrails & Financial Services Governance: Hands-on experience with LLM/agent observability, tracing, guardrails, and auditability tools, with working knowledge of Model Risk Management, SR 11-7, data privacy, security, and financial services regulatory controls.
  • Sales & Business Development: Proven ability to originate new business opportunities and create new revenue streams by identifying client needs, developing relationships, shaping consulting solutions, and converting opportunities into sold work.
• Preferred Qualifications: Advanced degree (MBA, MS, or PhD) in Computer Science, Data Science, Financial Engineering, or a highly quantitative business discipline. Technical certifications across cloud providers (e.g., AWS Certified Solutions Architect, Azure AI Engineer), data platforms (e.g. Databricks) or AI governance programs

Additional Information

Compensation & Benefits
Compensation Base Salary: $171,000–$180,000. Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law.
Annual Performance Bonus Personal Sales Bonus (uncapped)
Benefits
Medical, dental, and vision; company-paid life and AD&D; voluntary supplemental insurance and EAP
401(k) with company match and immediate vesting; HSA and FSA options
College savings and student loan repayment programs
Paid parental leave; generous PTO, nine company holidays, and one floating holiday
Cell phone stipend; well-being and professional development programs
Benefits are subject to applicable plan terms and eligibility requirements.

Workplace

Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location.

Our Commitment

At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.