Senior Manager, Agentic AI Transformation - Banking & Capital Markets
Base salary $200K to $235K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Company Description
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
Strategy & Management Consulting
Financial Institutions have drastically changed over the last decade, driven by increased regulatory constraints, diverse competition inside and beyond traditional banking organizations, and emerging technologies reshaping long-standing ecosystems. Sia’s Financial Services Business Unit provides a comprehensive suite of core capabilities designed to address the diverse and evolving needs of our clients, enabling them to navigate complex challenges, seize new opportunities, and achieve their strategic objectives in an increasingly competitive and dynamic business environment.
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. You will operate at the critical intersection of advanced artificial intelligence, Tier-1 banking business operations, and rigorous regulatory frameworks.
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
These qualifications are intended to reflect what may help a candidate succeed as a Senior Manager at Sia. We recognize that candidates may not meet every qualification listed, and we encourage you to apply if you are excited about the role, eager to learn, and believe you can contribute to our teams and clients.
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
Sia invests in total rewards that support how our people work, live, and grow.
Compensation
Base Salary: $200,000–$235,000. 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. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future.
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.
Source: Sia on SmartRecruiters · View original posting (opens in new tab)
This listingSenior Manager, Agentic AI Transformation - Banking & Capital Markets$200K to $235K
Senior Manager, AI Delivery Lead - Legal & RegTech$180K to $210K
Director of Brand StrategyFrom $180K
Director, Brand Storytelling$180K to $200K
Senior Manager, AI Delivery Lead - Legal & RegTech$180K to $210K
Senior Manager, Wealth & Asset Management$170K to $180K
Program Manager, Business Transformation & Enterprise Systems Implementation (Oracle Utilities)$150K to $170K
Chart as a table
| Role | Published base |
|---|---|
| Senior Manager, Agentic AI Transformation - Banking & Capital Markets (this listing) | $200K - $235K |
| Senior Manager, AI Delivery Lead - Legal & RegTech | $180K - $210K |
| Director of Brand Strategy | From $180K |
| Director, Brand Storytelling | $180K - $200K |
| Senior Manager, AI Delivery Lead - Legal & RegTech | $180K - $210K |
| Senior Manager, Wealth & Asset Management | $170K - $180K |
| Program Manager, Business Transformation & Enterprise Systems Implementation (Oracle Utilities) | $150K - $170K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-08-24
Where this pay comes from
Location as the employer wrote it: New York, NY, United States
Base Salary: $200,000–$235,000. Actual compensation within this range will be determined b
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.