Snowflake Finance Data & AI Architect Manager
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Include a section ONLY when posting has real, specific content for it. Do not repeat job title. Do not include Job ID etc. Remove boilerplate. So we need to extract substantive content: The role description: "As a Finance Data & AI Manager specializing in Snowflake, you'll lead teams that design end-to-end solutions from ingestion through trusted data products, AI, and reporting. You will connect finance outcomes to target architecture and guide delivery from strategy through production. Lead engagements or workstreams that define end-to-end Snowflake architectures across integration, engineering, storage, security, semantic modeling, AI, and finance consumption Guide batch and streaming pipeline design using SQL, Python, Snowpark, Snowpipe, dynamic tables, streams, tasks, and orchestration tools Establish governance, lineage, access controls, data quality, observability, service-level objectives, and remediation patterns Define reusable finance data products, canonical models, semantic views, APIs, and sharing for planning, close, profitability, treasury, and reporting Architect production ML and generative and agentic AI with Cortex AI, MLOps and LLMOps, evaluation, monitoring, and responsible AI controls Manage client relationships, estimates, design reviews, deployment, performance and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting" That's responsibilities. Skills: list of abilities: Ability to work independently and collaborate as part of a team, Ability to translate finance outcomes into clear architecture decisions, Effective written, verbal, and executive 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, Ability to meet deadlines, Ability to mentor and provide clear guidance to others. Qualifications Required: bullet list: 6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment; 4+ years of experience designing Snowflake solutions with SQL and Python across data engineering, security, performance, and multi-environment deployment; 4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting; Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field; 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: list: Experience with Snowpark, Snowpipe, dynamic tables, streams and tasks, Cortex AI, semantic views, secure sharing, governance, and data quality; Experience with data observability, lineage, testing, CI/CD, infrastructure as code, and Snowflake cost/performance management; Experience deploying ML, retrieval-augmented generation, or agentic AI with evaluation, monitoring, and responsible AI controls; Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and delivering Power BI or Tableau semantic models and reporting; SnowPro certification or a master's degree in a related business or technical field; 2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams. Also there is a line: "Recruiting for this role ends on 12/01/2026" - that's metadata; we should fold into a short
or drop it. Probably include as a short paragraph. Also there is introductory paragraph about Deloitte and Finance Transformation offering repeated. We can include an "About the role" or "About Deloitte" but we need to avoid duplication. The instructions: "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it." So we can include an "About the role" paragraph summarizing the introductory text. The intro: "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 later: "The team 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 drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights." We can combine into an "About the role" or "About Deloitte" paragraph. We should not include sections with placeholder like "Pay", "Schedule", "Benefits" because not mentioned. Thus sections: About the role (intro), Responsibilities, Qualifications (Required), Skills, Preferred Qualifications. We need to use
for each heading. Use - for any list of duties/requirements/benefits. For prose use
. For skills list also use
- . For qualifications required also list.
We need to preserve all substantive info; do not invent or summarize away detail. So we need to include each bullet exactly as in posting.
Let's extract bullet points exactly:
Responsibilities (the long paragraph). Might be better to break into bullet list? The instruction: Use
- for any list of duties/requirements/benefits. The responsibilities are a paragraph with many items separated by spaces. Could we treat as a list? It's not explicitly a list but we could split into sentences as list items. However we must preserve all info; we could keep as a paragraph (
) because it's prose. The instruction says use
- for any list of duties/requirements/benefits. If it's not a list, we can use
. The responsibilities paragraph is not formatted as a list; we can keep as
. That's fine.
Skills: they are a list separated by commas? Actually they are sentences: "Ability to work independently and collaborate as part of a teamAbility to translate finance outcomes into clear architecture decisionsEffective written, verbal, and executive communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentAbility to meet deadlinesAbility to mentor and provide clear guidance to others". No punctuation between items. We need to split into separate items. We'll create
- each ability.
Qualifications Required: bullet list with each line starting with a number+ years etc. We'll make
- .
Preferred: similar.
Also include the recruiting end date as a short
maybe under About the role or separate.
We must not include boilerplate like EEO etc. Not present.
Now produce HTML fragment.
Let's craft:
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. The team 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 drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.
Recruiting for this role ends on 12/01/2026.
Then Responsibilities:
Responsibilities
As a Finance Data & AI Manager specializing in Snowflake, you'll lead teams that design end-to-end solutions from ingestion through trusted data products, AI, and reporting. You will connect finance outcomes to target architecture and guide delivery from strategy through production. Lead engagements or workstreams that define end-to-end Snowflake architectures across integration, engineering, storage, security, semantic modeling, AI, and finance consumption. Guide batch and streaming pipeline design using SQL, Python, Snowpark, Snowpipe, dynamic tables, streams, tasks, and orchestration tools. Establish governance, lineage, access controls, data quality, observability, service-level objectives, and remediation patterns. Define reusable finance data products, canonical models, semantic views, APIs, and sharing for planning, close, profitability, treasury, and reporting. Architect production ML and generative and agentic AI with Cortex AI, MLOps and LLMOps, evaluation, monitoring, and responsible AI controls. Manage client relationships, estimates, design reviews, deployment, performance and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses. Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting.
Skills:
Skills
- Ability to work independently and collaborate as part of a team
- Ability to translate finance outcomes into clear architecture decisions
- Effective written, verbal, and executive 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
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
Qualifications Required:
Qualifications
- 6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment
- 4+ years of experience designing Snowflake solutions with SQL and Python across data engineering, security, performance, and multi-environment deployment
- 4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field
- 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:
Preferred Qualifications
- Experience with Snowpark, Snowpipe, dynamic tables, streams and tasks, Cortex AI, semantic views, secure sharing, governance, and data quality
- Experience with data observability, lineage, testing, CI/CD, infrastructure as code, and Snowflake cost/performance management
- Experience deploying ML, retrieval-augmented generation, or agentic AI with evaluation, monitoring, and responsible AI controls
- Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and delivering Power BI or Tableau semantic models
. For skills list also use
- . For qualifications required also list.
We need to preserve all substantive info; do not invent or summarize away detail. So we need to include each bullet exactly as in posting.
Let's extract bullet points exactly:
Responsibilities (the long paragraph). Might be better to break into bullet list? The instruction: Use
- for any list of duties/requirements/benefits. The responsibilities are a paragraph with many items separated by spaces. Could we treat as a list? It's not explicitly a list but we could split into sentences as list items. However we must preserve all info; we could keep as a paragraph (
) because it's prose. The instruction says use
- for any list of duties/requirements/benefits. If it's not a list, we can use
. The responsibilities paragraph is not formatted as a list; we can keep as
. That's fine. Skills: they are a list separated by commas? Actually they are sentences: "Ability to work independently and collaborate as part of a teamAbility to translate finance outcomes into clear architecture decisionsEffective written, verbal, and executive communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentAbility to meet deadlinesAbility to mentor and provide clear guidance to others". No punctuation between items. We need to split into separate items. We'll create
- each ability.
Qualifications Required: bullet list with each line starting with a number+ years etc. We'll make
- .
Preferred: similar.
Also include the recruiting end date as a short
maybe under About the role or separate. We must not include boilerplate like EEO etc. Not present. Now produce HTML fragment. Let's craft:
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. The team 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 drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.
Recruiting for this role ends on 12/01/2026.
Then Responsibilities:Responsibilities
As a Finance Data & AI Manager specializing in Snowflake, you'll lead teams that design end-to-end solutions from ingestion through trusted data products, AI, and reporting. You will connect finance outcomes to target architecture and guide delivery from strategy through production. Lead engagements or workstreams that define end-to-end Snowflake architectures across integration, engineering, storage, security, semantic modeling, AI, and finance consumption. Guide batch and streaming pipeline design using SQL, Python, Snowpark, Snowpipe, dynamic tables, streams, tasks, and orchestration tools. Establish governance, lineage, access controls, data quality, observability, service-level objectives, and remediation patterns. Define reusable finance data products, canonical models, semantic views, APIs, and sharing for planning, close, profitability, treasury, and reporting. Architect production ML and generative and agentic AI with Cortex AI, MLOps and LLMOps, evaluation, monitoring, and responsible AI controls. Manage client relationships, estimates, design reviews, deployment, performance and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses. Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting.
Skills:Skills
- Ability to work independently and collaborate as part of a team
- Ability to translate finance outcomes into clear architecture decisions
- Effective written, verbal, and executive 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
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
Qualifications
- 6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment
- 4+ years of experience designing Snowflake solutions with SQL and Python across data engineering, security, performance, and multi-environment deployment
- 4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting
- Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field
- 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
- Experience with Snowpark, Snowpipe, dynamic tables, streams and tasks, Cortex AI, semantic views, secure sharing, governance, and data quality
- Experience with data observability, lineage, testing, CI/CD, infrastructure as code, and Snowflake cost/performance management
- Experience deploying ML, retrieval-augmented generation, or agentic AI with evaluation, monitoring, and responsible AI controls
- Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and delivering Power BI or Tableau semantic models
- .
Preferred: similar.
Also include the recruiting end date as a short
- each ability.
Qualifications Required: bullet list with each line starting with a number+ years etc. We'll make
- for any list of duties/requirements/benefits. If it's not a list, we can use
- for any list of duties/requirements/benefits. The responsibilities are a paragraph with many items separated by spaces. Could we treat as a list? It's not explicitly a list but we could split into sentences as list items. However we must preserve all info; we could keep as a paragraph (