Finance Analytics & AI Manager
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We must preserve all substantive information, not invent or summarize away detail. Remove boilerplate: cookie/navigation/legal/EEO etc. There's none. Also remove duplicated lines. There's some repeated sentences? The intro paragraph repeats some content later in "The team". We need to preserve all substantive info but not duplicate. We should avoid repeating same sentences. We'll synthesize but not lose info. However instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." That means we cannot omit details, but we can avoid duplication? It says remove duplicated lines. So we can deduplicate.
We need to include all bullet points from responsibilities list, qualifications list, skills list.
Let's extract.
Intro paragraph: "In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators. Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey."
Then "Recruiting for this role ends on 12/01/2026" - that's metadata, we can fold into short
or drop. Probably include as a short paragraph.
Then "Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Managers are expected to contribute to the firm's growth and development in a variety of ways."
Then list of responsibilities (starting with "Lead AI solution development...").
Let's extract responsibilities sentences (each separated by maybe line breaks). They are:
- Lead AI solution development and deployment, managing day-to-day client relationships, and ensuring quality, performance, and technical outcomes meet client expectations
- Serve as a techno-functional bridge between client stakeholders and technical delivery teams - clarifying requirements, resolving design ambiguities, and providing solution guidance
- Lead small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises
- Partner with developers and technical teams to translate design requirements into build specifications, providing functional guidance throughout development, testing, and deployment
- Translate client business needs and finance process requirements into clear AI-related functional and technical design requirements, ensuring solutions are both technically sound and aligned to business outcomes
- Engage clients to identify business issues and high-impact AI use cases, shaping hypotheses, value cases, and solution design requirements
- Perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods, to inform solution architecture and design decisions
- Define scope, objectives, requirements, and delivery plans; managing solution architecture planning through execution, delivery, and post-implementation review
- Contributing to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members
Now qualifications required list:
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 6+ years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
- Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
- Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred qualifications (maybe separate but we can include under Qualifications or separate section? The instruction: include a section ONLY when posting has real, specific content for it. There's a "Preferred:" list. Could be part of Qualifications or separate "Preferred Qualifications". Since it's specific content, we could include a section "Preferred Qualifications". But we need to decide headings allowed: they listed examples: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. They didn't list Preferred Qualifications. But we could treat as part of Qualifications. However we need to preserve all info; we can include both Required and Preferred under Qualifications heading, maybe separate subheadings? But we cannot add extra headings not listed? The instruction says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says e.g., not exclusive list. So we could add other headings if needed, but better to stick to given ones. We could put Preferred under Qualifications as a subsection using
or
. That's fine.
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
Now "The team" paragraph: "Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators. Within the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights."
This is somewhat similar to intro but we can keep as part of About the role.
We need to avoid duplication: The intro and team paragraph share similar sentences. We'll combine them into a cohesive About the role paragraph without repeating same sentences verbatim. But we must preserve all substantive information; we can rephrase as long as we don't lose detail. The instruction says do NOT invent or summarize away detail. Rephrasing is okay as long as we keep the meaning. However safer to keep both paragraphs but maybe they are not exact duplicates; they have some overlapping but also add details: The team paragraph adds "Within the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights." That's not in intro. So we keep both.
Now we need to output HTML fragment only.
Structure:
Recruiting for this role ends on 12/01/2026.
About the role
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators. Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators. Within the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights.
Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Managers are expected to contribute to the firm's growth and development in a variety of ways.
Responsibilities
- Lead AI solution development and deployment, managing day-to-day client relationships, and ensuring quality, performance, and technical outcomes meet client expectations
- Serve as a techno-functional bridge between client stakeholders and technical delivery teams - clarifying requirements, resolving design ambiguities, and providing solution guidance
- Lead small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises
- Partner with developers and technical teams to translate design requirements into build specifications, providing functional guidance throughout development, testing, and deployment
- Translate client business needs and finance process requirements into clear AI-related functional and technical design requirements, ensuring solutions are both technically sound and aligned to business outcomes
- Engage clients to identify business issues and high-impact AI use cases, shaping hypotheses, value cases, and solution design requirements
- Perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods, to inform solution architecture and design decisions
- Define scope, objectives, requirements, and delivery plans; managing solution architecture planning through execution, delivery, and post-implementation review
- Contributing to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members
Qualifications
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 6+ years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions
for prose. We must preserve all substantive information, not invent or summarize away detail. Remove boilerplate: cookie/navigation/legal/EEO etc. There's none. Also remove duplicated lines. There's some repeated sentences? The intro paragraph repeats some content later in "The team". We need to preserve all substantive info but not duplicate. We should avoid repeating same sentences. We'll synthesize but not lose info. However instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." That means we cannot omit details, but we can avoid duplication? It says remove duplicated lines. So we can deduplicate. We need to include all bullet points from responsibilities list, qualifications list, skills list. Let's extract. Intro paragraph: "In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators. Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey." Then "Recruiting for this role ends on 12/01/2026" - that's metadata, we can fold into short
or drop. Probably include as a short paragraph. Then "Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Managers are expected to contribute to the firm's growth and development in a variety of ways." Then list of responsibilities (starting with "Lead AI solution development..."). Let's extract responsibilities sentences (each separated by maybe line breaks). They are: - Lead AI solution development and deployment, managing day-to-day client relationships, and ensuring quality, performance, and technical outcomes meet client expectations - Serve as a techno-functional bridge between client stakeholders and technical delivery teams - clarifying requirements, resolving design ambiguities, and providing solution guidance - Lead small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises - Partner with developers and technical teams to translate design requirements into build specifications, providing functional guidance throughout development, testing, and deployment - Translate client business needs and finance process requirements into clear AI-related functional and technical design requirements, ensuring solutions are both technically sound and aligned to business outcomes - Engage clients to identify business issues and high-impact AI use cases, shaping hypotheses, value cases, and solution design requirements - Perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods, to inform solution architecture and design decisions - Define scope, objectives, requirements, and delivery plans; managing solution architecture planning through execution, delivery, and post-implementation review - Contributing to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members Now qualifications required list: - Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. - 6+ years of experience with software development using Python or similar coding languages. - Experience architecting AI systems on cloud platforms (e.g., GCP). - Experience taking production-grade AI-driven solutions from conception to launch for customers. - Experience leading technical discovery sessions with customers. - Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions. - Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments - Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini - Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations - Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. - Limited immigration sponsorship may be available. Preferred qualifications (maybe separate but we can include under Qualifications or separate section? The instruction: include a section ONLY when posting has real, specific content for it. There's a "Preferred:" list. Could be part of Qualifications or separate "Preferred Qualifications". Since it's specific content, we could include a section "Preferred Qualifications". But we need to decide headings allowed: they listed examples: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. They didn't list Preferred Qualifications. But we could treat as part of Qualifications. However we need to preserve all info; we can include both Required and Preferred under Qualifications heading, maybe separate subheadings? But we cannot add extra headings not listed? The instruction says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says e.g., not exclusive list. So we could add other headings if needed, but better to stick to given ones. We could put Preferred under Qualifications as a subsection using
or
- . That's fine.
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
Now "The team" paragraph: "Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators. Within the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights."
This is somewhat similar to intro but we can keep as part of About the role.
We need to avoid duplication: The intro and team paragraph share similar sentences. We'll combine them into a cohesive About the role paragraph without repeating same sentences verbatim. But we must preserve all substantive information; we can rephrase as long as we don't lose detail. The instruction says do NOT invent or summarize away detail. Rephrasing is okay as long as we keep the meaning. However safer to keep both paragraphs but maybe they are not exact duplicates; they have some overlapping but also add details: The team paragraph adds "Within the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights." That's not in intro. So we keep both.
Now we need to output HTML fragment only.
Structure:
- Lead AI solution development and deployment, managing day-to-day client relationships, and ensuring quality, performance, and technical outcomes meet client expectations
- Serve as a techno-functional bridge between client stakeholders and technical delivery teams - clarifying requirements, resolving design ambiguities, and providing solution guidance
- Lead small engagements or workstreams within larger programs that identify, design, and implement AI-enabled business and technology solutions for large enterprises
- Partner with developers and technical teams to translate design requirements into build specifications, providing functional guidance throughout development, testing, and deployment
- Translate client business needs and finance process requirements into clear AI-related functional and technical design requirements, ensuring solutions are both technically sound and aligned to business outcomes
- Engage clients to identify business issues and high-impact AI use cases, shaping hypotheses, value cases, and solution design requirements
- Perform assessments using quantitative and qualitative techniques, including AI-enabled diagnostics and discovery methods, to inform solution architecture and design decisions
- Define scope, objectives, requirements, and delivery plans; managing solution architecture planning through execution, delivery, and post-implementation review
- Contributing to business development by supporting proposals, RFP responses, and orals, and by mentoring and developing team members
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 6+ years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
- Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions
Recruiting for this role ends on 12/01/2026.
About the role
In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators. Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.
Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators. Within the Finance Transformation offering, our Business Finance team helps drive strategic value through financial planning, forecasting, and analytics capabilities. By leveraging next-gen processes, scalable data platforms, and AI, our team delivers accurate, timely, and actionable insights.
Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership, this is your chance to take your career to the next level. Our Managers are expected to contribute to the firm's growth and development in a variety of ways.