Senior Manager - AI / Automation Architect

PowerToFly

Arizona

On-site

USD 163,000 - 322,000

Full time

5 days ago
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Job summary

Deloitte is seeking a Senior Manager and AI/Automation Architect within the Finance Transformation Tech Enablement team. You will own the technical vision for the unified Finance Operate Platform, leading build-versus-buy decisions across agentic AI, RPA, workflows, and integrations, and guiding client-facing delivery strategy.

This senior leadership role shapes Deloitte's approach to technology-enabled Finance Operate engagements at scale across Controllership, Treasury, and FP&A.

Qualifications

  • 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 agentic AI, LLM-driven automation, and multi-agent systems in enterprise settings.
  • Proficiency in Python, AI/ML model development, and workflow orchestration frameworks.

Responsibilities

  • Own end-to-end technical architecture for the Finance Operate Platform and guide build-versus-buy decisions.
  • Lead client conversations on delivery strategy and platform capabilities; oversee technical delivery across multiple workstreams.
  • Mentor engineers and architects; present roadmap updates to senior stakeholders.
  • Evaluate new AI/ML technologies and drive adoption within the Finance Operate service catalog.
  • Collaborate with offshore teams to translate strategy into executable delivery plans.

Skills

Agentic AI design
LLM automation
Python
Cloud platforms
APIs and microservices
Executive stakeholder engagement
Travel readiness

Education

Bachelor's degree in CS/Engineering

Tools

LangChain
LangGraph
Databricks
Alteryx
UiPath

Job description

Step into a role where you'll help shape the future of finance. As part of our Finance Transformation team, you'll collaborate with CFOs, finance leaders, and executive clients to solve their most complex challenges. Leveraging Deloitte's unmatched resources and deep industry insights, you'll deliver innovative, market-driven solutions that modernize finance functions, elevate performance, and drive meaningful organizational change. Join us to empower clients to become strategic business partners, manage risk, and unlock new levels of financial and operational excellence.

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.
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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