Senior Director, Data & Analytics
for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must only include sections when posting has real specific content. We have content for responsibilities (What You'll Do), requirements/qualifications (What You'll Bring, Preferred Qualifications), benefits (Why Join Ashurst Perkins Coie? includes benefits description), pay (compensation ranges per location). Also maybe schedule not present, so omit.
We must not repeat job title as heading. No Job ID etc. Remove boilerplate like application instructions, EEO, etc. The posting includes "Applications for this position will be accepted through October 9th, 2026." That's application instruction; we should remove. Also "More information regarding benefits and programs may be found here." That's boilerplate; remove.
We need to preserve all substantive info. So we need to include responsibilities bullet list? The responsibilities are in paragraph sentences; we can convert to - for any list of duties/requirements/benefits. The responsibilities are multiple sentences; we could split into list items. The instruction: Use
- for any list of duties/requirements/benefits, and
for prose. So we need to decide: If we have a list, we should use ul/li. The responsibilities are a series of actions; we can make each sentence a list item. Similarly for requirements (What You'll Bring) and Preferred Qualifications. Benefits also list items.
We need sections: Responsibilities, Requirements (maybe combine What You'll Bring and Preferred Qualifications?), Qualifications? The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can choose which sections have content. We have responsibilities, qualifications (What You'll Bring), preferred qualifications maybe under Qualifications or Skills. Could combine. Benefits section. Pay section.
We should not create empty sections. So we will output:
Responsibilities
- ...
...
Qualifications
- ...
...
(including both What You'll Bring and Preferred Qualifications? Might be too many; but we can split into Requirements and Qualifications? The instruction says we can have both Requirements and Qualifications headings if content. We have requirements (What You'll Bring) and preferred qualifications (Preferred Qualifications). Could treat What You'll Bring as Requirements, Preferred Qualifications as Qualifications. Or combine. Let's do Requirements for What You'll Bring, Qualifications for Preferred Qualifications.
Also Skills? Could extract skills from qualifications but not needed.
Benefits: Benefits
...
Pay: Pay
... compensation ranges per location...
We must not include schedule.
We need to preserve all substantive info: include details about leading enterprise data strategy, overseeing data architecture etc. Also mention Databricks and Azure lakehouse, establishing standards, MLOps, etc. Also mention managing budgets, resources, leading global team.
For qualifications: list each bullet.
Let's extract responsibilities sentences:
- Lead the firm’s enterprise data and analytics strategy, roadmap, operating model, and investment priorities in partnership with the Chief Digital & Data Officer and firm leadership.
- Oversee data architecture, engineering, governance, analytics, data science, machine learning engineering, and enterprise data platforms.
- Own the architecture, security, reliability, scalability, performance, and cost efficiency of the firm’s Databricks and Microsoft Azure lakehouse environment.
- Establish enterprise standards for data integration, modeling, quality, governance, metadata, lineage, access, security, and compliance.
- Direct machine learning engineering and MLOps practices, ensuring models and data products can move reliably from development to production.
- Enable analytics, AI, and self-service capabilities through trusted data products, semantic models, and governed data services.
- Lead build, buy, and partner decisions, including vendor management, technology investments, platform optimization, and technical debt reduction.
- Partner with business and technology leaders to identify opportunities for data, analytics, and AI and translate technical priorities into measurable business value.
- Manage budgets, resources, platform consumption, risks, and executive reporting across the data organization.
- Lead and develop a high-performing global organization across multiple regions and time zones, fostering technical excellence, innovation, collaboration, and continuous improvement.
Now qualifications (What You'll Bring) bullet points:
- 10-plus years of progressive experience in data engineering, analytics, data science, or related technology disciplines, including enterprise cloud and data solutions.
- 5-plus years of senior leadership experience managing multidisciplinary data, analytics, engineering, or technology teams, including people managers.
- Strong expertise in enterprise data architecture, lakehouse platforms, data integration, dimensional and semantic modeling, ETL/ELT, and data warehousing.
- Deep experience with Databricks, Microsoft Azure, SQL, Python, and PySpark.
- Working knowledge of machine learning, MLOps, generative AI, feature stores, model deployment, monitoring, and AI governance.
- Demonstrated experience taking analytics, data science, or AI initiatives from prototype through production and measurable business impact.
- Strong understanding of data quality, governance, security, metadata, lineage, compliance, and data residency requirements.
- Experience managing technology budgets, vendors, platform costs, and cross-functional initiatives.
- Experience leading distributed or global teams across multiple regions and time zones.
- Excellent executive communication, strategic thinking, problem-solving, and leadership skills.
- Bachelor’s degree in computer science, engineering, statistics, or a related quantitative discipline; equivalent experience may be considered. Advanced degree preferred.
Preferred Qualifications:
- Experience with Elite 3E and related professional services or practice management data structures.
- Experience with Databricks, Unity Catalog, Microsoft Fabric, Power BI, Denodo, and emerging AI or agentic AI platforms.
- Experience in a law firm or professional services environment, including client confidentiality, matter-level data, data residency, and regulatory requirements.
Benefits from Why Join section:
- annual discretionary bonus
- 401(k) plan
- medical, dental, and vision insurance
- accrued paid time off plan starting at 20 days annually
- personal medical and parental leave
- up to ten paid holidays
- family care benefits
Also mention: "Join a collaborative, forward-thinking firm where data, analytics, and technology play an essential role in supporting attorneys, clients, and business operations. As Senior Director, Data & Analytics, you’ll have the opportunity to shape the firm’s enterprise data strategy, modernize data and analytics capabilities, enable responsible AI adoption, and lead a global team delivering trusted data and measurable business value across the firm." That's prose; we can put in before benefits list.
Pay: compensation ranges per location:
- Colorado compensation range: $190,310 to $333,010 annually
- Illinois compensation range: $200,850 to $351,460 annually
- Washington state compensation range: $200,750 to $351,280 annually
- Washington, D.C. compensation range: $216,810 to $379,380 annually
Also note: "This position is eligible for an annual discretionary bonus, 401(k) plan, medical, dental, and vision insurance, accrued paid time off plan starting at 20 days annually, personal medical and parental leave, up to ten paid holidays, and family care benefits." Already captured.
We should not include the line "More information regarding benefits and programs may be found here." Remove.
Also remove "Applications for this position will be accepted through October 9th, 2026."
Now produce HTML fragment.
Structure:
Responsibilities
...
Requirements
...
Qualifications
...
Benefits
Join a collaborative, forward-thinking firm where data, analytics, and technology play an essential role in supporting attorneys, clients, and business operations. As Senior Director, Data & Analytics, you’ll have the opportunity to shape the firm’s enterprise data strategy, modernize data and analytics capabilities, enable responsible AI adoption, and lead a global team delivering trusted data and measurable business value across the firm.
...
Pay
Compensation ranges by location:
...
Make sure not to add extra headings.
Check for any repeated content: Ensure we didn't miss any substantive info like "Driving Data Operations. Delivering Business Value." That's tagline; could be included in About the role? But we don't have About the role section; we could add a short paragraph under Responsibilities? The instruction says use for section headings; we can have About the role if we have content. The opening sentences: "Job Description Senior Director of Data & Analytics Driving Data Operations. Delivering Business Value. At Ashurst Perkins Coie US LLP, data and analytics are critical to delivering exceptional client service and advancing the firm’s strategic goals. The Senior Director of Data & Analytics leads the firm’s global data and analytics organization and owns the enterprise data strategy, establishing data as a trusted, governed, and reusable firm asset. This role sets the multi-year vision, architecture, and investment roadmap for the enterprise data estate and leads data architecture, engineering, governance, analytics, data science, and machine learning engineering as a connected function. The Senior Director is accountable for the security, reliability, scalability, performance, and cost efficiency of the firm’s data platforms and for delivering trusted data products, insights, and AI capabilities."
That's substantive overview; we could put that in an About the role
with
. But we already have Responsibilities section covering duties; but About the role could be a summary. The instruction: "use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we can include About the role if we have content. We have that overview paragraph. Let's include About the role as a
(since it's prose). Then Responsibilities as list.
We must not repeat job title as heading; we aren't.
Thus final HTML:
About the role
At Ashurst Perkins Coie US LLP, data and analytics are critical to delivering exceptional client service and advancing the firm’s strategic goals. The Senior Director of Data & Analytics leads the firm’s global data and analytics organization and owns the enterprise data strategy, establishing data as a trusted, governed, and reusable firm asset. This role sets the multi-year vision, architecture, and investment roadmap for the enterprise data estate and leads data architecture, engineering, governance, analytics, data science, and machine learning engineering as a connected function. The Senior Director is accountable for the security, reliability, scalability, performance, and cost efficiency of the firm’s data platforms and for delivering trusted data products, insights, and AI capabilities.
Responsibilities
...
Requirements
...
Qualifications
...
Benefits
Join a collaborative, forward-thinking firm where data, analytics, and technology play an essential role in supporting attorneys, clients, and business operations. As Senior Director, Data & Analytics, you’ll have the opportunity to shape the firm’s enterprise data strategy, modernize data and analytics capabilities, enable responsible AI adoption, and lead a global team delivering trusted data and measurable business value across the firm.
...
Pay
Compensation ranges by location:
...
Check that we didn't include schedule
- for any list of duties/requirements/benefits, and
for prose. So we need to decide: If we have a list, we should use ul/li. The responsibilities are a series of actions; we can make each sentence a list item. Similarly for requirements (What You'll Bring) and Preferred Qualifications. Benefits also list items. We need sections: Responsibilities, Requirements (maybe combine What You'll Bring and Preferred Qualifications?), Qualifications? The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can choose which sections have content. We have responsibilities, qualifications (What You'll Bring), preferred qualifications maybe under Qualifications or Skills. Could combine. Benefits section. Pay section. We should not create empty sections. So we will output:
Responsibilities
- ... ...
Qualifications
- ... ...
Benefits
- ...
Pay:
Pay
... compensation ranges per location...
We must not include schedule. We need to preserve all substantive info: include details about leading enterprise data strategy, overseeing data architecture etc. Also mention Databricks and Azure lakehouse, establishing standards, MLOps, etc. Also mention managing budgets, resources, leading global team. For qualifications: list each bullet. Let's extract responsibilities sentences: - Lead the firm’s enterprise data and analytics strategy, roadmap, operating model, and investment priorities in partnership with the Chief Digital & Data Officer and firm leadership. - Oversee data architecture, engineering, governance, analytics, data science, machine learning engineering, and enterprise data platforms. - Own the architecture, security, reliability, scalability, performance, and cost efficiency of the firm’s Databricks and Microsoft Azure lakehouse environment. - Establish enterprise standards for data integration, modeling, quality, governance, metadata, lineage, access, security, and compliance. - Direct machine learning engineering and MLOps practices, ensuring models and data products can move reliably from development to production. - Enable analytics, AI, and self-service capabilities through trusted data products, semantic models, and governed data services. - Lead build, buy, and partner decisions, including vendor management, technology investments, platform optimization, and technical debt reduction. - Partner with business and technology leaders to identify opportunities for data, analytics, and AI and translate technical priorities into measurable business value. - Manage budgets, resources, platform consumption, risks, and executive reporting across the data organization. - Lead and develop a high-performing global organization across multiple regions and time zones, fostering technical excellence, innovation, collaboration, and continuous improvement. Now qualifications (What You'll Bring) bullet points: - 10-plus years of progressive experience in data engineering, analytics, data science, or related technology disciplines, including enterprise cloud and data solutions. - 5-plus years of senior leadership experience managing multidisciplinary data, analytics, engineering, or technology teams, including people managers. - Strong expertise in enterprise data architecture, lakehouse platforms, data integration, dimensional and semantic modeling, ETL/ELT, and data warehousing. - Deep experience with Databricks, Microsoft Azure, SQL, Python, and PySpark. - Working knowledge of machine learning, MLOps, generative AI, feature stores, model deployment, monitoring, and AI governance. - Demonstrated experience taking analytics, data science, or AI initiatives from prototype through production and measurable business impact. - Strong understanding of data quality, governance, security, metadata, lineage, compliance, and data residency requirements. - Experience managing technology budgets, vendors, platform costs, and cross-functional initiatives. - Experience leading distributed or global teams across multiple regions and time zones. - Excellent executive communication, strategic thinking, problem-solving, and leadership skills. - Bachelor’s degree in computer science, engineering, statistics, or a related quantitative discipline; equivalent experience may be considered. Advanced degree preferred. Preferred Qualifications: - Experience with Elite 3E and related professional services or practice management data structures. - Experience with Databricks, Unity Catalog, Microsoft Fabric, Power BI, Denodo, and emerging AI or agentic AI platforms. - Experience in a law firm or professional services environment, including client confidentiality, matter-level data, data residency, and regulatory requirements. Benefits from Why Join section: - annual discretionary bonus - 401(k) plan - medical, dental, and vision insurance - accrued paid time off plan starting at 20 days annually - personal medical and parental leave - up to ten paid holidays - family care benefits Also mention: "Join a collaborative, forward-thinking firm where data, analytics, and technology play an essential role in supporting attorneys, clients, and business operations. As Senior Director, Data & Analytics, you’ll have the opportunity to shape the firm’s enterprise data strategy, modernize data and analytics capabilities, enable responsible AI adoption, and lead a global team delivering trusted data and measurable business value across the firm." That's prose; we can put inbefore benefits list. Pay: compensation ranges per location: - Colorado compensation range: $190,310 to $333,010 annually - Illinois compensation range: $200,850 to $351,460 annually - Washington state compensation range: $200,750 to $351,280 annually - Washington, D.C. compensation range: $216,810 to $379,380 annually Also note: "This position is eligible for an annual discretionary bonus, 401(k) plan, medical, dental, and vision insurance, accrued paid time off plan starting at 20 days annually, personal medical and parental leave, up to ten paid holidays, and family care benefits." Already captured. We should not include the line "More information regarding benefits and programs may be found here." Remove. Also remove "Applications for this position will be accepted through October 9th, 2026." Now produce HTML fragment. Structure:
Responsibilities
- ...
Requirements
- ...
Qualifications
- ...
Benefits
Join a collaborative, forward-thinking firm where data, analytics, and technology play an essential role in supporting attorneys, clients, and business operations. As Senior Director, Data & Analytics, you’ll have the opportunity to shape the firm’s enterprise data strategy, modernize data and analytics capabilities, enable responsible AI adoption, and lead a global team delivering trusted data and measurable business value across the firm.
- ...
Pay
Compensation ranges by location:
- ...
for section headings; we can have About the role if we have content. The opening sentences: "Job Description Senior Director of Data & Analytics Driving Data Operations. Delivering Business Value. At Ashurst Perkins Coie US LLP, data and analytics are critical to delivering exceptional client service and advancing the firm’s strategic goals. The Senior Director of Data & Analytics leads the firm’s global data and analytics organization and owns the enterprise data strategy, establishing data as a trusted, governed, and reusable firm asset. This role sets the multi-year vision, architecture, and investment roadmap for the enterprise data estate and leads data architecture, engineering, governance, analytics, data science, and machine learning engineering as a connected function. The Senior Director is accountable for the security, reliability, scalability, performance, and cost efficiency of the firm’s data platforms and for delivering trusted data products, insights, and AI capabilities." That's substantive overview; we could put that in an
About the role
with. But we already have Responsibilities section covering duties; but About the role could be a summary. The instruction: "use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we can include About the role if we have content. We have that overview paragraph. Let's include About the role as a
(since it's prose). Then Responsibilities as list. We must not repeat job title as heading; we aren't. Thus final HTML:
About the role
At Ashurst Perkins Coie US LLP, data and analytics are critical to delivering exceptional client service and advancing the firm’s strategic goals. The Senior Director of Data & Analytics leads the firm’s global data and analytics organization and owns the enterprise data strategy, establishing data as a trusted, governed, and reusable firm asset. This role sets the multi-year vision, architecture, and investment roadmap for the enterprise data estate and leads data architecture, engineering, governance, analytics, data science, and machine learning engineering as a connected function. The Senior Director is accountable for the security, reliability, scalability, performance, and cost efficiency of the firm’s data platforms and for delivering trusted data products, insights, and AI capabilities.
Responsibilities
- ...
Requirements
- ...
Qualifications
- ...
Benefits
Join a collaborative, forward-thinking firm where data, analytics, and technology play an essential role in supporting attorneys, clients, and business operations. As Senior Director, Data & Analytics, you’ll have the opportunity to shape the firm’s enterprise data strategy, modernize data and analytics capabilities, enable responsible AI adoption, and lead a global team delivering trusted data and measurable business value across the firm.
- ...
Pay
Compensation ranges by location:
- ...