Director Finance AI & Data Governance
Intuitive · Sunnyvale, CA · 4 wk ago
On-siteFinance$224k–$336k/yrFull-time
We need to output HTML fragment with sections: About the role? Actually we have Company Description, Job Description, Primary Function of Position, Roles And Responsibilities, Qualifications, Required Education And Training, Additional Information (but we need to filter out boilerplate like EEO, legal, etc). Also we need to include sections only when there is real specific content. We need to use for section headings: e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. The instruction says use those headings for sections. However we need to map content accordingly.
We have:
- Company Description: could be "About the role"? Actually "About the role" is typical for description of role. But we have a company description separate. The instruction: "use
for section headings: e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. The instruction says use those headings for sections. However we need to map content accordingly.
We have:
- Company Description: could be "About the role"? Actually "About the role" is typical for description of role. But we have a company description separate. The instruction: "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we can choose headings that match content. We have:
Primary Function of Position (maybe "About the role").
Roles And Responsibilities (Responsibilities).
Qualifications (maybe "Qualifications" or "Requirements").
Required Skills and Experience (maybe "Skills").
Required Education And Training (maybe "Education").
Compensation details: Base Salary Range Region 1 and 2, Shift, Workplace Type. That's Pay and Schedule.
We also have "Additional Information" includes vaccination requirement, export controls, etc. Those are boilerplate/legal; we should remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So we should drop the Additional Information section entirely (or at least the legal parts). However we need to keep substantive info like vaccination requirement? That might be considered part of Additional Information but could be considered boilerplate? The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. Vaccination requirement might be considered health requirement, not necessarily boilerplate. But it's part of "Additional Information". Might be considered relevant. However we need to decide.
We also have "Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19." That's a substantive requirement. Should we keep? It's not EEO or legal disclaimer; it's a job requirement. Could be kept under a section like "Requirements" or "Additional Information". But we only have headings list; we could include a section "Requirements" to hold that. However we already have Qualifications/Skills/Education. Might be okay to add a subsection under Qualifications? But we must follow instruction: use for section headings (e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but says use those for section headings. Probably we should stick to those headings. So we can map:
- About the role: Company Description + Primary Function of Position? Could combine.
- Responsibilities: Roles And Responsibilities.
- Requirements: Could include Required Skills and Experience + Required Education And Training + vaccination requirement? Or we could split into Qualifications and Skills. But we have both Qualifications and Skills headings available. Use Qualifications for required skills/experience, Skills for maybe technical skills? But we have Required Skills and Experience already. Could treat that as Qualifications. And Required Education And Training as Education (but not in list). Could put under Qualifications as well.
Better to follow the instruction: Use headings from the list; we can choose which to include. So we can have sections: About the role, Responsibilities, Qualifications, Skills, Pay, Schedule.
We need to preserve all substantive information; not invent or summarize away detail.
Let's extract content:
Company Description paragraph: "It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here."
Primary Function of Position paragraph: "The Director, Finance AI and Data Governance will lead Finance-wide AI transformation by building trusted data foundations, governed semantic layers, and scalable AI capabilities that improve decision-making, productivity, controls, and business partnership. This leader will define and execute the Finance AI strategy, operating model, governance framework, and value-realization approach in close partnership with Finance leadership, Enterprise AI and Data, IT, and other enterprise partners. The role owns Finance data governance, semantic modeling, AI agent development and design standards, use case prioritization, adoption, and measurable value delivery across financial and operational domains. This leader will establish and lead a central team of AI and data experts that shapes the future of Finance through governed, scalable, AI-driven transformation."
Roles And Responsibilities bullet list (each line starts with a verb). We need to convert to - .
List items:
- Own the Finance AI and data transformation roadmap in support of the Finance team vision.
- Translate Finance strategy into a prioritized portfolio of AI and data initiatives that accelerate planning and reporting cycles, improve forecast accuracy, reduce manual work, strengthen controls, and enhance decision support.
- Establish Finance data governance policies in partnership with Enterprise AI and Data to ensure a single source of truth, high-quality data foundations, and scalable capabilities that support business needs and future growth.
- Lead governance forums that approve definitions, business rules, quality standards, lineage expectations, security, and access controls.
- Own the Finance semantic layer and certified metric framework, standardizing definitions and calculation logic across reporting, analytics, planning, and AI agents.
- Establish certification, release, version control, and change-management processes for the Finance semantic layer.
- Define the playbook for Finance agents, including grounding, orchestration, evaluation, testing, deployment, and monitoring.
- Own the operating model for democratized agent development and ensure approved semantic models and governed data are developed to support scaling AI within Finance.
- Establish accuracy thresholds, human oversight, risk controls, and production support expectations.
- Lead the intake and prioritization process across Finance AI and Data initiatives, including capacity allocation and recurring portfolio reviews with Finance leadership.
- Lead the operating model for Finance AI and data delivery by setting standards, enabling functional teams, managing portfolio trade-offs, and ensuring central capabilities are adopted consistently across Finance.
- Build, lead, and develop a central Finance AI and Data Governance team, including talent strategy, operating cadence, delivery expectations, and collaboration norms with functional Finance teams.
- Partner with IT, Enterprise AI and Data, Security, and Finance leadership to align architecture, responsible AI practices, investment priorities, implementation roadmaps, and executive governance.
- Build a Finance AI community of practice, champion network, role-based learning plan, and reusable playbooks to scale AI proficiency across the finance organization.
- Partner with functional leaders to leverage AI to improve day-to-day work, and transform business processes.
- Measure adoption, productivity, quality, value realization, and risk posture across the AI and data portfolio.
- Serve as a trusted advisor to the Finance organization and enterprise partners. Translate the portfolio into measurable outcomes, communicate progress and risks to governance forums, and ensure investment decisions remain aligned to Finance strategy and enterprise architecture.
Qualifications Required Skills and Experience paragraph: list of bullet-like sentences but not bullet. We need to convert to
- for any list of duties/requirements/benefits. This is a list of qualifications. So we should make a
- for each bullet.
Let's extract each line:
- Minimum of 12 years of progressive leadership experience across Finance, FP&A, data and analytics, digital transformation, AI, data governance or related disciplines.
- Demonstrated success leading cross-functional enterprise programs and influencing senior stakeholders.
- Strong understanding of Finance processes, controls, performance management, and financial and operational metrics.
- Experience establishing data governance, semantic models, analytics products, or AI-enabled solutions.
- Ability to translate business strategy into an executable portfolio, operating model, and measurable outcomes.
- Experience leading organizational change, adoption, and capability building in Finance.
- Enterprise thinker who can connect data, technology, controls, and Finance outcomes.
- Product-oriented leader who prioritizes user value and scalable capabilities over one-off solutions.
- Strong governance judgment with the ability to enable innovation while maintaining trust and control.
- Clear executive communicator who can simplify complex AI and data concepts.
- Ability to attract and retain top talent, drive innovation, and create accountability across dotted-line teams.
- Experience with modern data and analytics platforms such as Snowflake and Databricks.
- Experience with enterprise generative AI, agentic solutions, responsible AI practices, or model evaluation.
- Knowledge of enterprise planning and ERP platforms such as Anaplan and SAP.
- This role requires working onsite in our Sunnyvale, CA office Tuesday, Wednesday, and Thursday every week
Note: The last line about onsite schedule could be considered schedule info; but it's also a requirement. We'll handle schedule later.
Required Education And Training: "Bachelor's degree in finance, computer science, mathematics, information systems or business."
Additional Information includes vaccination requirement, export controls, EEO, etc. We need to remove boilerplate legal/EEO etc. Keep vaccination requirement? It's a substantive requirement. Could be placed under Requirements or maybe under "Additional Information" but we don't have that heading. Could add to Requirements section as a bullet.
Also we have Compensation details: Base Salary Range Region 1:$224,000 - $336,000; Base Salary Range Region 2: $190,400 - $285,600; Shift: Day; Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
We need Pay and Schedule sections. Pay: base salary ranges. Schedule: Shift: Day; Workplace Type: Set Schedule - onsite weekly etc.
We should not include headings with filler like "commensurate with experience". We have actual numbers.
Now produce HTML.
Structure:
About the role
Company Description + Primary Function of Position combined? Could be two paragraphs.
Responsibilities
- ... each responsibility
Qualifications
- ... each qualification from Required Skills and Experience (excluding education? maybe include education separately?)
Skills
Maybe we could put technical skills like experience with Snowflake, Databricks, generative AI, etc. But we already have them in qualifications. Could split: Qualifications for experience/leadership, Skills for technical platforms. But we have to avoid duplication. Let's decide: Use Qualifications for leadership/experience, Skills for technical platforms (Snowflake, Databricks, generative AI, agentic solutions, responsible AI, model evaluation, Anaplan, SAP). Also maybe include "Ability to translate business strategy..." etc as qualification.
But we need to preserve all substantive info; splitting is okay as long as we don't lose info.
Education: Could be under Qualifications or separate heading "Education" but not in list. Could put under Qualifications as well.
Vaccination requirement: Could be under Requirements (maybe as a bullet under Qualifications or Skills). We'll add a bullet under Qualifications: "Must be able to show current proof of vaccination against certain diseases including COVID-19."
Schedule: We'll have Schedule
with Shift
for section headings (e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid other headings, but says use those for section headings. Probably we should stick to those headings. So we can map:
- About the role: Company Description + Primary Function of Position? Could combine.
- Responsibilities: Roles And Responsibilities.
- Requirements: Could include Required Skills and Experience + Required Education And Training + vaccination requirement? Or we could split into Qualifications and Skills. But we have both Qualifications and Skills headings available. Use Qualifications for required skills/experience, Skills for maybe technical skills? But we have Required Skills and Experience already. Could treat that as Qualifications. And Required Education And Training as Education (but not in list). Could put under Qualifications as well.
Better to follow the instruction: Use headings from the list; we can choose which to include. So we can have sections: About the role, Responsibilities, Qualifications, Skills, Pay, Schedule.
We need to preserve all substantive information; not invent or summarize away detail.
Let's extract content:
Company Description paragraph: "It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here."
Primary Function of Position paragraph: "The Director, Finance AI and Data Governance will lead Finance-wide AI transformation by building trusted data foundations, governed semantic layers, and scalable AI capabilities that improve decision-making, productivity, controls, and business partnership. This leader will define and execute the Finance AI strategy, operating model, governance framework, and value-realization approach in close partnership with Finance leadership, Enterprise AI and Data, IT, and other enterprise partners. The role owns Finance data governance, semantic modeling, AI agent development and design standards, use case prioritization, adoption, and measurable value delivery across financial and operational domains. This leader will establish and lead a central team of AI and data experts that shapes the future of Finance through governed, scalable, AI-driven transformation."
Roles And Responsibilities bullet list (each line starts with a verb). We need to convert to - .
List items:
- Own the Finance AI and data transformation roadmap in support of the Finance team vision.
- Translate Finance strategy into a prioritized portfolio of AI and data initiatives that accelerate planning and reporting cycles, improve forecast accuracy, reduce manual work, strengthen controls, and enhance decision support.
- Establish Finance data governance policies in partnership with Enterprise AI and Data to ensure a single source of truth, high-quality data foundations, and scalable capabilities that support business needs and future growth.
- Lead governance forums that approve definitions, business rules, quality standards, lineage expectations, security, and access controls.
- Own the Finance semantic layer and certified metric framework, standardizing definitions and calculation logic across reporting, analytics, planning, and AI agents.
- Establish certification, release, version control, and change-management processes for the Finance semantic layer.
- Define the playbook for Finance agents, including grounding, orchestration, evaluation, testing, deployment, and monitoring.
- Own the operating model for democratized agent development and ensure approved semantic models and governed data are developed to support scaling AI within Finance.
- Establish accuracy thresholds, human oversight, risk controls, and production support expectations.
- Lead the intake and prioritization process across Finance AI and Data initiatives, including capacity allocation and recurring portfolio reviews with Finance leadership.
- Lead the operating model for Finance AI and data delivery by setting standards, enabling functional teams, managing portfolio trade-offs, and ensuring central capabilities are adopted consistently across Finance.
- Build, lead, and develop a central Finance AI and Data Governance team, including talent strategy, operating cadence, delivery expectations, and collaboration norms with functional Finance teams.
- Partner with IT, Enterprise AI and Data, Security, and Finance leadership to align architecture, responsible AI practices, investment priorities, implementation roadmaps, and executive governance.
- Build a Finance AI community of practice, champion network, role-based learning plan, and reusable playbooks to scale AI proficiency across the finance organization.
- Partner with functional leaders to leverage AI to improve day-to-day work, and transform business processes.
- Measure adoption, productivity, quality, value realization, and risk posture across the AI and data portfolio.
- Serve as a trusted advisor to the Finance organization and enterprise partners. Translate the portfolio into measurable outcomes, communicate progress and risks to governance forums, and ensure investment decisions remain aligned to Finance strategy and enterprise architecture.
Qualifications Required Skills and Experience paragraph: list of bullet-like sentences but not bullet. We need to convert to
- for any list of duties/requirements/benefits. This is a list of qualifications. So we should make a
- for each bullet.
Let's extract each line:
- Minimum of 12 years of progressive leadership experience across Finance, FP&A, data and analytics, digital transformation, AI, data governance or related disciplines.
- Demonstrated success leading cross-functional enterprise programs and influencing senior stakeholders.
- Strong understanding of Finance processes, controls, performance management, and financial and operational metrics.
- Experience establishing data governance, semantic models, analytics products, or AI-enabled solutions.
- Ability to translate business strategy into an executable portfolio, operating model, and measurable outcomes.
- Experience leading organizational change, adoption, and capability building in Finance.
- Enterprise thinker who can connect data, technology, controls, and Finance outcomes.
- Product-oriented leader who prioritizes user value and scalable capabilities over one-off solutions.
- Strong governance judgment with the ability to enable innovation while maintaining trust and control.
- Clear executive communicator who can simplify complex AI and data concepts.
- Ability to attract and retain top talent, drive innovation, and create accountability across dotted-line teams.
- Experience with modern data and analytics platforms such as Snowflake and Databricks.
- Experience with enterprise generative AI, agentic solutions, responsible AI practices, or model evaluation.
- Knowledge of enterprise planning and ERP platforms such as Anaplan and SAP.
- This role requires working onsite in our Sunnyvale, CA office Tuesday, Wednesday, and Thursday every week
Note: The last line about onsite schedule could be considered schedule info; but it's also a requirement. We'll handle schedule later.
Required Education And Training: "Bachelor's degree in finance, computer science, mathematics, information systems or business."
Additional Information includes vaccination requirement, export controls, EEO, etc. We need to remove boilerplate legal/EEO etc. Keep vaccination requirement? It's a substantive requirement. Could be placed under Requirements or maybe under "Additional Information" but we don't have that heading. Could add to Requirements section as a bullet.
Also we have Compensation details: Base Salary Range Region 1:$224,000 - $336,000; Base Salary Range Region 2: $190,400 - $285,600; Shift: Day; Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
We need Pay and Schedule sections. Pay: base salary ranges. Schedule: Shift: Day; Workplace Type: Set Schedule - onsite weekly etc.
We should not include headings with filler like "commensurate with experience". We have actual numbers.
Now produce HTML.
Structure:
About the role
Company Description + Primary Function of Position combined? Could be two paragraphs.
Responsibilities
- ... each responsibility
Qualifications
- ... each qualification from Required Skills and Experience (excluding education? maybe include education separately?)
Skills
Maybe we could put technical skills like experience with Snowflake, Databricks, generative AI, etc. But we already have them in qualifications. Could split: Qualifications for experience/leadership, Skills for technical platforms. But we have to avoid duplication. Let's decide: Use Qualifications for leadership/experience, Skills for technical platforms (Snowflake, Databricks, generative AI, agentic solutions, responsible AI, model evaluation, Anaplan, SAP). Also maybe include "Ability to translate business strategy..." etc as qualification.
But we need to preserve all substantive info; splitting is okay as long as we don't lose info.
Education: Could be under Qualifications or separate heading "Education" but not in list. Could put under Qualifications as well.
Vaccination requirement: Could be under Requirements (maybe as a bullet under Qualifications or Skills). We'll add a bullet under Qualifications: "Must be able to show current proof of vaccination against certain diseases including COVID-19."
Schedule: We'll have Schedule
with Shift
- for any list of duties/requirements/benefits. This is a list of qualifications. So we should make a
- for each bullet.
Let's extract each line:
- Minimum of 12 years of progressive leadership experience across Finance, FP&A, data and analytics, digital transformation, AI, data governance or related disciplines.
- Demonstrated success leading cross-functional enterprise programs and influencing senior stakeholders.
- Strong understanding of Finance processes, controls, performance management, and financial and operational metrics.
- Experience establishing data governance, semantic models, analytics products, or AI-enabled solutions.
- Ability to translate business strategy into an executable portfolio, operating model, and measurable outcomes.
- Experience leading organizational change, adoption, and capability building in Finance.
- Enterprise thinker who can connect data, technology, controls, and Finance outcomes.
- Product-oriented leader who prioritizes user value and scalable capabilities over one-off solutions.
- Strong governance judgment with the ability to enable innovation while maintaining trust and control.
- Clear executive communicator who can simplify complex AI and data concepts.
- Ability to attract and retain top talent, drive innovation, and create accountability across dotted-line teams.
- Experience with modern data and analytics platforms such as Snowflake and Databricks.
- Experience with enterprise generative AI, agentic solutions, responsible AI practices, or model evaluation.
- Knowledge of enterprise planning and ERP platforms such as Anaplan and SAP.
- This role requires working onsite in our Sunnyvale, CA office Tuesday, Wednesday, and Thursday every week
Note: The last line about onsite schedule could be considered schedule info; but it's also a requirement. We'll handle schedule later.
Required Education And Training: "Bachelor's degree in finance, computer science, mathematics, information systems or business."
Additional Information includes vaccination requirement, export controls, EEO, etc. We need to remove boilerplate legal/EEO etc. Keep vaccination requirement? It's a substantive requirement. Could be placed under Requirements or maybe under "Additional Information" but we don't have that heading. Could add to Requirements section as a bullet.
Also we have Compensation details: Base Salary Range Region 1:$224,000 - $336,000; Base Salary Range Region 2: $190,400 - $285,600; Shift: Day; Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
We need Pay and Schedule sections. Pay: base salary ranges. Schedule: Shift: Day; Workplace Type: Set Schedule - onsite weekly etc.
We should not include headings with filler like "commensurate with experience". We have actual numbers.
Now produce HTML.
Structure:
About the role
Company Description + Primary Function of Position combined? Could be two paragraphs.
Responsibilities
- ... each responsibility
Qualifications
- ... each qualification from Required Skills and Experience (excluding education? maybe include education separately?)
Skills
Maybe we could put technical skills like experience with Snowflake, Databricks, generative AI, etc. But we already have them in qualifications. Could split: Qualifications for experience/leadership, Skills for technical platforms. But we have to avoid duplication. Let's decide: Use Qualifications for leadership/experience, Skills for technical platforms (Snowflake, Databricks, generative AI, agentic solutions, responsible AI, model evaluation, Anaplan, SAP). Also maybe include "Ability to translate business strategy..." etc as qualification. But we need to preserve all substantive info; splitting is okay as long as we don't lose info. Education: Could be under Qualifications or separate heading "Education" but not in list. Could put under Qualifications as well. Vaccination requirement: Could be under Requirements (maybe as a bullet under Qualifications or Skills). We'll add a bullet under Qualifications: "Must be able to show current proof of vaccination against certain diseases including COVID-19." Schedule: We'll haveSchedule
withShift
- for each bullet.
Let's extract each line:
- Minimum of 12 years of progressive leadership experience across Finance, FP&A, data and analytics, digital transformation, AI, data governance or related disciplines.
- Demonstrated success leading cross-functional enterprise programs and influencing senior stakeholders.
- Strong understanding of Finance processes, controls, performance management, and financial and operational metrics.
- Experience establishing data governance, semantic models, analytics products, or AI-enabled solutions.
- Ability to translate business strategy into an executable portfolio, operating model, and measurable outcomes.
- Experience leading organizational change, adoption, and capability building in Finance.
- Enterprise thinker who can connect data, technology, controls, and Finance outcomes.
- Product-oriented leader who prioritizes user value and scalable capabilities over one-off solutions.
- Strong governance judgment with the ability to enable innovation while maintaining trust and control.
- Clear executive communicator who can simplify complex AI and data concepts.
- Ability to attract and retain top talent, drive innovation, and create accountability across dotted-line teams.
- Experience with modern data and analytics platforms such as Snowflake and Databricks.
- Experience with enterprise generative AI, agentic solutions, responsible AI practices, or model evaluation.
- Knowledge of enterprise planning and ERP platforms such as Anaplan and SAP.
- This role requires working onsite in our Sunnyvale, CA office Tuesday, Wednesday, and Thursday every week
Note: The last line about onsite schedule could be considered schedule info; but it's also a requirement. We'll handle schedule later.
Required Education And Training: "Bachelor's degree in finance, computer science, mathematics, information systems or business."
Additional Information includes vaccination requirement, export controls, EEO, etc. We need to remove boilerplate legal/EEO etc. Keep vaccination requirement? It's a substantive requirement. Could be placed under Requirements or maybe under "Additional Information" but we don't have that heading. Could add to Requirements section as a bullet.
Also we have Compensation details: Base Salary Range Region 1:$224,000 - $336,000; Base Salary Range Region 2: $190,400 - $285,600; Shift: Day; Workplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
We need Pay and Schedule sections. Pay: base salary ranges. Schedule: Shift: Day; Workplace Type: Set Schedule - onsite weekly etc.
We should not include headings with filler like "commensurate with experience". We have actual numbers.
Now produce HTML.
Structure: