Senior Manager - AI / Automation Architect
$163k - $322.1kDeloitte LLP
As a Senior Manager and AI/Automation Architect within our Finance Transformation Tech Enablement team, you will own the technical vision for our unified Finance Operate Platform. You will make definitive build-versus-buy decisions across agentic AI, automation, and integration layers, and lead client-facing conversations on delivery strategy. This is a senior leadership role that shapes how Deloitte designs and delivers technology-enabled Finance Operate engagements at scale across Controllership, Treasury, and FP&A.
Recruiting for this role ends on 09/30/2026. Work you'll do As a Senior Manager - AI / Automation Architect on the Finance Transformation Tech Enablement team, you will be responsible for: Technical Vision & Architecture- Own the end-to-end technical architecture for the Finance Operate Platform, spanning across our overall consulting wide delivery platform, offering delivery portal, and sub-offering accelerators.
- Define and enforce build-versus-buy decisions across agentic AI, RPA, workflow automation, data/analytics, and alliance integrations.
- Lead design of multi-agent AI architectures, LLM/RAG pipelines, and agentic workflow orchestration aligned to Finance Operate use cases.
- Establish reusable patterns, technical standards, and guardrails that can be applied consistently across Controllership, Treasury, and FP&A sub-offerings.
Execution Leadership
- Lead internal stakeholder and client conversations on agentic delivery strategy, platform capabilities, and technology roadmap (primarily for internal firm leadership with some nuances for client facing conversations).
- Partner with offshore Solution Architect and cross-functional teams to translate platform strategy into executable delivery plans.
- Provide technical oversight across concurrent workstreams; identify and resolve architectural dependencies and delivery risks proactively.
- Guide Agile/Scaled Agile planning and engineering practices across the Tech Enablement team.
Platform & Innovation
- Evaluate emerging AI/ML, agentic framework, and automation technologies and make recommendations for adoption within the Finance Operate service catalog.
- Drive development and operationalization of AI-powered POCs demonstrating value in finance service automation, including journal entry validation, reconciliation, forecasting, and exception management.
- Collaborate with Consulting delivery platform team leads on the Agentic Layer roadmap (Phase 1 ETL/data readiness and Phase 2 business process automation).
Team & Stakeholder Engagement
- Mentor and develop engineers, consultants, and architects across the team.
- Present technical strategies and roadmap updates to senior internal and client stakeholders.
- Build trusted-advisor relationships with Finance Operate offering leadership and delivery teams.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team Our Finance Operate offering provides ongoing operation of the Finance function as an extension of Deloitte's Finance Transformation Advise and Implement offering portfolio. The team works across finance strategy, process, operations, and technology to help organizations enable scalable finance outcomes. Professionals in this practice support delivery in complex environments while helping clients advance modernization across Finance Operate capabilities. Qualifications Required:
- Bachelor's degree in Computer Science, Engineering, Business, or related field (advanced degree preferred).
- 10+ years of progressive technology delivery experience, including 3+ years in a senior architecture or technical leadership role.
- Demonstrated expertise in designing and deploying agentic AI, LLM-driven automation, and multi-agent systems in enterprise environments.
- Deep proficiency in Python, AI/ML model development, and workflow orchestration (LangChain, LangGraph, or similar frameworks).
- Experience with cloud platforms (Azure, AWS, or GCP) for deploying AI and automation workloads.
- Strong knowledge of integration architecture, APIs, microservices, and CI/CD practices.
- Proven track record leading client-facing technical conversations and executive stakeholder engagement.
- Experience with Finance or ERP system contexts (Record to Report, P2P, Treasury, or FP&A) preferred.
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- Familiarity with ServiceNow workflow architecture and Finance Operate delivery platforms.
- Experience with data/analytics platforms such as Databricks, Alteryx, or similar.
- Knowledge of RPA platforms (UiPath, Automation Anywhere, Blue Prism).
- Certifications in cloud architecture, AI/ML, or Agile/SAFe frameworks.
- Familiarity with RAG architectures, vector databases, and agentic frameworks such as AutoGPT.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,000 to $322,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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