Director of Data Products

We need to output HTML fragment with sections: About the role? Actually the posting includes "Position summary:" and "Specific duties and responsibilities include..." etc. We need headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections with real content. We need to extract content. Let's parse. Job posting text: "Cooley AI is seeking a Director of Products to join the Innovation team. About Cooley AI: Cooley AI is the wholly-owned subsidiary of Cooley LLP. The frontier development arm of the leading technology law firm in the world. Our mission is to bring the best-in-class practices from the technology field into the legal domain to help lead our firm and the legal industry into the AI era. All employees of Cooley AI are employees of Cooley and are seconded to Cooley AI. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. The Director of Data Products is a leadership role responsible for building, leading, and delivering data products that turn the Northstar Lakehouse into value the firm can use. This role leads a multi-track team spanning AI-powered application engineering, technical data analysis, and business reporting and analytics, translating the firm’s legal intelligence and practice of law ambitions into data products that attorneys, business professionals, and firm leadership can trust and consume. This role steps into an active, well-resourced program, with platform foundations already live and Silver layer structures underway, and owns the product roadmap end to end in close partnership with the Director of Data. The Director is responsible for bringing strong delivery leadership and product judgment, building a high-performing team, and shipping data products that matter. Then "Specific duties and responsibilities include, but are not limited to, the following:" then sections: Position Responsibilities Data Products Leadership & Team Development: ... etc. Then Product Roadmap & Delivery Ownership ... then AI-Powered Application & Analytics Product Delivery ... then Technical Data Analysis & Business Reporting ... then Cross-Functional Collaboration & Platform Partnership ... then All other duties as assigned or required. Then "Required Skills and experience:" then bullet list: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage, and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 10+ years of experience in data product management, data engineering, analytics engineering, or a related data platform discipline preferably in a multi-track data products team, with 5+ years of management experience in relevant roles Proven experience building and delivering data products on a cloud data platform, including AI-powered applications, analytics products, or BI reporting estates that business stakeholders actively use and trust Strong understanding of the full data product stack from gold layer consumption through to user-facing application delivery, including dimensional modeling, semantic layer design, and application-layer data integration Strong AI product fluency, with the ability to direct application engineers building LLM-integrated and vector search-powered applications, assess quality, and make product decisions about AI feature behavior and governance Experience leading a multi-track team simultaneously, including engineers, analysts, and BI professionals, with demonstrated ability to develop track leads as capable, independent managers and individual contributors Strong product roadmap ownership experience including backlog management, stakeholder requirement translation, prioritization decision-making, and delivery accountability in a squad-based Agile environment Experience with Databricks or comparable cloud data lakehouse platform at a product leadership level, sufficient to engage credibly with platform engineers on gold layer design and data contract standards Proven Agile delivery leadership in a data platform program, including EPIC delivery management, sprint planning, and definition of done discipline across multiple parallel workstreams Bachelor’s degree Preferred Legal sector, professional services, or financial services experience with understanding of complex data domains including matter management, client relationships, timekeeper and billing data, or comparable professional services data complexity Experience with Data Vault 2.0 at a product consumption level, including understanding of Business Vault patterns, point-in-time tables, and how gold layer dimensional models are built from Raw Vault and Business Vault structures Experience with dbt for semantic layer and gold layer transformation model development, testing standards, and documentation practices Familiarity with Databricks Appkit, Databricks Apps, or comparable application hosting platform for data-driven application delivery Experience with Power BI or comparable BI platform at a product leadership level, including report estate governance, performance management, and migration planning toward a governed data lakehouse gold layer Familiarity with RAG application patterns, LLM output gov (cut off). No Benefits, Pay, Schedule info. Thus we can include sections: About the role (maybe from "About Cooley AI" and "Position summary"?). Responsibilities (the duties). Requirements (maybe "Required Skills and experience:" includes required skills). Qualifications (maybe Bachelor’s degree and preferred experience). Skills (maybe we can separate but we have many skill items; but we can combine into Skills section). However we need to avoid duplication. The instruction: Prefer a few substantive sections over many thin ones. So we could have sections: About the role, Responsibilities, Requirements & Qualifications, Skills. But they ask to use headings exactly: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can include only those with content. So we can include About the role, Responsibilities, Requirements, Qualifications, Skills. No Benefits, Pay, Schedule. We must not repeat job title as heading. So we will not include heading for Director of Products. We need to preserve all substantive information; do not invent or summarize away detail. So we need to include all details from the posting, but we can format as paragraphs and lists. We need to use

for section headings. Use

• for any list of duties/requirements/benefits, and

  for prose. We need to remove boilerplate: cookie/navigation/legal/EEO etc. Not present. We need to preserve all substantive info: So we need to include the About Cooley AI paragraph, Position summary paragraph, then responsibilities broken into sub-sections? The instruction says use headings for sections; we can have subheadings? Not specified; only those headings. We could embed the detailed responsibilities as prose or lists under Responsibilities heading. We need to preserve all details; we can break into multiple

  • items for each bullet point. The responsibilities text includes many paragraphs; we can convert each sentence or clause into list items. Similarly for Required Skills and experience: we can list each requirement as
  • . Qualifications: Bachelor’s degree, Preferred Legal sector experience etc. Skills: maybe we can list the specific skill items like proficiency in Microsoft Office, iManage, ability to work extended hours, travel, etc. But many of those are also in Requirements. Might be overlapping. To avoid duplication, we could treat "Required Skills and experience" as Requirements, and "Preferred" as Qualifications. Skills could be maybe the technical skills like Databricks, dbt, Power BI, Data Vault, etc. But we already have them in requirements. However we need to follow instruction: include a section ONLY when posting has real, specific content for it. So we can decide to have sections: About the role, Responsibilities, Requirements, Qualifications, Skills. For Skills we could list the specific technical competencies: proficiency in Microsoft Office suite, iManage, ability to work extended/weekend hours, ability to travel, experience with Databricks, dbt, Power BI, Data Vault 2.0, RAG patterns, LLM output governance, etc. But many of those are also in Requirements. To avoid duplication, maybe we treat Requirements as the years of experience, management, etc., and Skills as the technical proficiencies. Let's parse. From "Required Skills and experience:" list: - After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage, and other firm applications - Ability to work extended and/or weekend hours, as required - Ability to travel, as required - 10+ years of experience in data product management, data engineering, analytics engineering, or a related data platform discipline preferably in a multi-track data products team, with 5+ years of management experience in relevant roles - Proven experience building and delivering data products on a cloud data platform, including AI-powered applications, analytics products, or BI reporting estates that business stakeholders actively use and trust - Strong understanding of the full data product stack from gold layer consumption through to user-facing application delivery, including dimensional modeling, semantic layer design, and application-layer data integration - Strong AI product fluency, with the ability to direct application engineers building LLM-integrated and vector search-powered applications, assess quality, and make product decisions about AI feature behavior and governance - Experience leading a multi-track team simultaneously, including engineers, analysts, and BI professionals, with demonstrated ability to develop track leads as capable, independent managers and individual contributors - Strong product roadmap ownership experience including backlog management, stakeholder requirement translation, prioritization decision-making, and delivery accountability in a squad-based Agile environment - Experience with Databricks or comparable cloud data lakehouse platform at a product leadership level, sufficient to engage credibly with platform engineers on gold layer design and data contract standards - Proven Agile delivery leadership in a data platform program, including EPIC delivery management, sprint planning, and definition of done discipline across multiple parallel workstreams - Bachelor’s degree - Preferred Legal sector, professional services, or financial services experience with understanding of complex data domains including matter management, client relationships, timekeeper and billing data, or comparable professional services data complexity - Experience with Data Vault 2.0 at a product consumption level, including understanding of Business Vault patterns, point-in-time tables, and how gold layer dimensional models are built from Raw Vault and Business Vault structures - Experience with dbt for semantic layer and gold layer transformation model development, testing standards, and documentation practices - Familiarity with Databricks Appkit, Databricks Apps, or comparable application hosting platform for data-driven application delivery - Experience with Power BI or comparable BI platform at a product leadership level, including report estate governance, performance management, and migration planning toward a governed data lakehouse gold layer - Familiarity with RAG application patterns, LLM output gov (cut off) Thus we can separate: Requirements: maybe the years of experience, management, etc. Qualifications: Bachelor’s degree, Preferred Legal sector experience. Skills: technical proficiencies (Microsoft Office, iManage, ability to work extended hours, travel, Databricks, dbt, Power BI, Data Vault, RAG, LLM output governance, etc). But we need to avoid losing any info. We'll include all items under appropriate sections. Let's craft:

    About the role

    Cooley AI is the wholly-owned subsidiary of Cooley LLP, the frontier development arm of the leading technology law firm in the world. Its mission is to bring best-in-class technology practices into the legal domain to help lead the firm and the legal industry into the AI era. All employees of Cooley AI are employees of Cooley and are seconded to Cooley AI.

    Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. The Director of Data Products is a leadership role responsible for building, leading, and delivering data products that turn the Northstar Lakehouse into value the firm can use. This role leads a multi-track team spanning AI-powered application engineering, technical data analysis, and business reporting and analytics, translating the firm’s legal intelligence and practice of law ambitions into data products that attorneys, business professionals, and firm leadership can trust and consume. The role steps into an active, well-resourced program, with platform foundations already live and Silver layer structures underway, and owns the product roadmap end to end in close partnership with the Director of Data. The Director is responsible for bringing strong delivery leadership and product judgment, building a high-performing team, and shipping data products that matter.

    Responsibilities

    • Lead and develop the Data Products function across three tracks: application engineering, technical data analysis, and business reporting and analytics.
    • Build a high-performing, accountable team through clear expectations and consistent feedback.
    • Provide direct leadership to the team and, as the function matures and the application engineering