Senior Manager - AI / Automation Architect
for each section heading.
We need to preserve all substantive info. Let's extract.
Intro: "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."
We can put that as About the role (or maybe Overview). Use About the role
then
with that paragraph(s). Ensure we keep all details. Responsibilities: list from "Work you'll do As a Senior Manager - AI / Automation Architect on the Finance Transformation Tech Enablement team, you will be responsible for:" then bullet points. We need to capture each bullet: - 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. We can group under Responsibilities heading with a
- each bullet. Might be long but okay.
Skills: list from "A successful candidate would possess these skills:" then bullet list.
Skills list:
- 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
Qualifications: list from "Qualifications Required:" then bullet list.
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: list after that.
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.
Pay: wage range: $163,000 to $322,100. Also mention discretionary annual incentive program.
Benefits: discretionary annual incentive program (maybe also mention limited immigration sponsorship? but that's not benefit). We'll include discretionary annual incentive program.
Schedule: travel 25% average.
We should not create sections with filler. All sections have content.
We must not include boilerplate like EEO etc. Not present.
We must output only HTML fragment.
Let's craft.
Structure:
About the role
...
Responsibilities
- ... ...
Qualifications
-
...
Skills
-
...
Benefits
- Discretionary annual incentive program (eligibility based on individual and organizational performance).
Pay
The wage range for this role is $163,000 to $322,100.
Schedule
Expected travel approximately 25% on average, based on work, clients, and industries served.
We might also include note about recruiting end date in About the role paragraph. Make sure to preserve all details: mention "Recruiting for this role ends on 09/30/2026." include in About the role. Also mention "Limited immigration sponsorship may be available." include in Qualifications. Also mention "Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve" under Qualifications (we already have). Also mention "Limited immigration sponsorship may be available." Make sure to include all bullet points exactly as given, but we can rephrase slightly? Must preserve all substantive information; we can keep same meaning. Let's craft each bullet. Responsibilities bullets: we need to capture each sub-bullet. I'll write them as separate - items, maybe with sub-bullets? But spec says use
- for any list of duties/requirements/benefits. It didn't forbid nested lists, but safer to keep flat list with each bullet as a sentence. We'll flatten. List: - Own the end-to-end technical architecture for the Finance Operate Platform, spanning across the 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. - 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. - 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). - 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. Qualifications bullets: - 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 bullets (maybe we can include under Qualifications as "Preferred qualifications" but spec says we can have Qualifications section; we could split into Required and Preferred but not required. We'll include all under Qualifications, maybe separate headings? But spec says use heading only when posting has real specific content. We could have a "Preferred qualifications" subsection but that would be another heading; maybe we can just include them in Qualifications list as well, but we need to differentiate? Not required. We'll just add them as part of