Director of Enterprise Data & Analytics
for section headings. Use - for any list of duties/requirements/benefits, and
for prose.
We need to preserve all substantive information; do not invent or summarize away detail.
Thus we need to extract substantive content and format.
Let's outline sections:
About the role: include introductory paragraphs describing role purpose, mission, etc. Could combine "Build the trusted data foundation..." and "Why this role matters" and maybe "The leadership environment". But we need to avoid duplication.
Responsibilities: from "What you will lead" bullet list (own the enterprise data and analytics strategy... etc). Also maybe from "How you will lead" (leadership expectations) but those are more about how you lead, could be considered responsibilities or qualifications. Might be better to put under Responsibilities the "What you will lead" items. And maybe "How you will lead" could be under Requirements or Skills? Actually "How you will lead" describes expected behaviors: Enterprise Leadership, Strategic Thinking, Accountability, Service, People Leadership. Those are competencies/requirements. Could be under Requirements or Skills. We'll decide.
Requirements: maybe education and experience, plus "What will help you succeed" (skills). Qualifications maybe similar.
We need to avoid thin sections. Let's think: we could have sections: About the role, Responsibilities, Requirements, Skills, Benefits? Not include Benefits. Pay? Not include. Schedule: include location/hybrid.
We need to ensure we don't create sections with filler.
Let's extract content.
About the role:
- "Build the trusted data foundation for what comes next At Merchants Fleet, data is central to how we serve clients, improve operations, make decisions, and prepare for an AI-enabled future. We are seeking a Director of Enterprise Data & Analytics to establish the enterprise vision, operating model, architecture, governance, and capabilities that will help transform data into measurable business value. This is an opportunity for an accomplished data and analytics leader to shape enterprise strategy while remaining closely connected to execution. The Director will lead and develop the enterprise data and analytics team, establish trusted data products and analytical capabilities, and partner with business and technology leaders to improve data quality, accessibility, governance, decision-making, and adoption. The successful candidate will be an enterprise-minded leader who can see the big picture, translate strategy into action, and build alignment across organizational boundaries. This role is well suited to someone who takes initiative, works effectively across multiple priorities, embraces change and innovation, makes timely decisions, and inspires others to commit to ambitious outcomes."
- "Why this role matters The Director of Enterprise Data & Analytics will help determine how Merchants Fleet uses data to better serve clients, improve operations, manage risk, enable employees, and advance AI-enabled capabilities. The role offers the opportunity to build an enduring enterprise foundation while leading a team and influencing important decisions across the organization."
- "The leadership environment This is a fast-moving role with broad enterprise visibility and a varied portfolio of responsibilities. The successful leader will be energized by change, innovation, problem-solving, and the opportunity to influence others. The role requires a balance of urgency and judgment, along with the ability to delegate appropriately while maintaining accountability for accurate, timely results."
We could combine these into About the role.
Responsibilities: "What you will lead" bullet list:
- Own the enterprise data and analytics strategy, operating model, data and information architecture, and multiyear roadmap.
- Establish data products and analytical capabilities with clear business ownership, stewardship, technical accountability, service expectations, and measures of success.
- Serve as a trusted data and analytics advisor to senior business and technology leaders.
- Lead the delivery and operation of secure, scalable, reliable, cost-effective, and supportable enterprise data and analytics platforms.
- Establish and lead the enterprise data governance operating model, including governance forums, stewardship responsibilities, decision rights, issue escalation, and policy oversight.
- Set practical standards and controls for data sourcing, quality, metadata, master data, privacy, security, retention, licensing, traceability, and cost.
- Directly manage, coach, and develop the enterprise data and analytics team, establishing clear priorities, performance expectations, development plans, and delivery commitments.
- Expand self-service analytics, data literacy, and adoption by connecting new capabilities to meaningful business outcomes.
- Provide the trusted data, governance, architecture, platform, security, quality, and analytical foundation needed to support advanced analytics and prioritized AI use cases.
- Partner with Enterprise Solutions & Architecture to align data, information, application, integration, security, and technology architecture.
- Manage enterprise data investments, resources, vendors, performance measures, risks, and executive reporting.
That's a list.
How you will lead bullet list (competencies):
- Enterprise Leadership: operate in best interest of whole organization, build trust across functions, navigate competing priorities constructively, sponsor initiatives that support the enterprise even when they extend beyond the data function.
- Strategic Thinking: anticipate emerging opportunities and risks, challenge assumptions, evaluate meaningful tradeoffs, direct talent, technology, and investment toward priorities that create greatest long-term value.
- Accountability: translate strategy into clear ownership, meaningful performance measures, and sustained results; communicate openly about risks and gaps, make timely corrective decisions, hold yourself and others accountable for outcomes and conduct.
- Service: keep clients, business partners, colleagues, and broader organization at center of data decisions; establish clear service expectations, remove systemic barriers, balance responsiveness with sustainable enterprise solutions.
- People Leadership: set clear expectations, develop talent, encourage open dialogue, provide direct and constructive feedback, create environment where team members are supported, challenged, and accountable.
These could be under Requirements or Skills. They are leadership competencies, maybe under Requirements.
What will help you succeed bullet list:
- Strong business acumen and ability to translate enterprise priorities into practical data and analytics strategies.
- Demonstrated leadership of multidisciplinary teams, enterprise programs, and complex organizational change.
- Advanced data literacy and broad practical expertise across data strategy, governance, architecture, integration, warehousing, business intelligence, metadata, master data, data quality, modeling, visualization, privacy, security, and regulatory compliance.
- Familiarity with modern data operating models, data products, data marketplaces, self-service analytics, and AI-enabled decision support.
- Experience leading in a modern cloud data and analytics environment, with exposure to technologies such as Snowflake, Microsoft Azure, Microsoft Fabric, Power BI, Databricks, Atlan, Matillion, SQL-based platforms, or comparable tools.
- Strong executive communication, facilitation, judgment, and relationship-building skills.
- The confidence to take initiative, make decisions, address ambiguity, and maintain momentum across multiple priorities.
- The ability to gain commitment through influence, positive communication, and a clear connection between the work and its business value.
Education and experience:
- Bachelor’s degree in computer science, data science, information science, business, or a related field, or an equivalent combination of education and relevant experience.
- Ten or more years of progressively responsible experience in data and analytics, information management, technology, business management, or a related discipline.
- Five or more years of progressive leadership experience leading teams, cross-functional programs, and enterprise initiatives.
- Demonstrated success developing and executing enterprise data, analytics, information architecture, or governance strategies that produce measurable business outcomes.
- Proven capability to align complex business processes, information assets, operating models, and performance measures across functions.
- A track record of influencing executive investment decisions through compelling business cases, strategic roadmaps, and long-range planning.
- Experience building or maturing data governance, stewardship, data operating models, or enterprise data organizations.
- Familiarity with fleet management, transportation, asset-intensive operations, auto finance, lending, leasing, securitization, or another regulated and data-intensive industry is preferred.
Location/hybrid: "Location: Merchants Fleet Headquarters- Hooksett, NH (Hybrid)". That's schedule.
We should not include benefits or pay.
Now we need to output HTML fragment with sections.
We need to decide which sections to include: About the role, Responsibilities, Requirements (maybe combine education/experience and what will help you succeed?), Skills (maybe the "What will help you succeed" list), but we need to avoid thin sections. Could combine Requirements and Skills into one "Requirements" section that includes education/experience, skills, competencies. But the rule says use headings for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can choose which to include. We could have About the role, Responsibilities, Requirements, Skills, Schedule. That seems reasonable.
We must not repeat job title as heading.
We must not include filler.
Let's craft:
About the role
...combined paragraphs...
Responsibilities
- ... each item ...
Requirements
Education and experience:
- Bachelor’s degree in computer science, data science, information science, business, or a related field, or an equivalent combination of education and relevant experience.
- Ten or more years of progressively responsible experience in data and analytics, information management, technology, business management, or a related discipline.
- Five or more years of progressive leadership experience leading teams, cross-functional programs, and enterprise initiatives.
- Demonstrated success developing and executing enterprise data, analytics, information architecture, or governance strategies that produce measurable business outcomes.
- Proven capability to align complex business processes, information assets, operating models, and performance measures across functions.
- A track record of influencing executive investment decisions through compelling business cases, strategic roadmaps, and long-range planning.
- Experience building or maturing data governance, stewardship, data operating models, or enterprise data organizations.
- Familiarity with fleet management, transportation, asset-intensive operations, auto finance, lending
for prose. We need to preserve all substantive information; do not invent or summarize away detail. Thus we need to extract substantive content and format. Let's outline sections: About the role: include introductory paragraphs describing role purpose, mission, etc. Could combine "Build the trusted data foundation..." and "Why this role matters" and maybe "The leadership environment". But we need to avoid duplication. Responsibilities: from "What you will lead" bullet list (own the enterprise data and analytics strategy... etc). Also maybe from "How you will lead" (leadership expectations) but those are more about how you lead, could be considered responsibilities or qualifications. Might be better to put under Responsibilities the "What you will lead" items. And maybe "How you will lead" could be under Requirements or Skills? Actually "How you will lead" describes expected behaviors: Enterprise Leadership, Strategic Thinking, Accountability, Service, People Leadership. Those are competencies/requirements. Could be under Requirements or Skills. We'll decide. Requirements: maybe education and experience, plus "What will help you succeed" (skills). Qualifications maybe similar. We need to avoid thin sections. Let's think: we could have sections: About the role, Responsibilities, Requirements, Skills, Benefits? Not include Benefits. Pay? Not include. Schedule: include location/hybrid. We need to ensure we don't create sections with filler. Let's extract content. About the role: - "Build the trusted data foundation for what comes next At Merchants Fleet, data is central to how we serve clients, improve operations, make decisions, and prepare for an AI-enabled future. We are seeking a Director of Enterprise Data & Analytics to establish the enterprise vision, operating model, architecture, governance, and capabilities that will help transform data into measurable business value. This is an opportunity for an accomplished data and analytics leader to shape enterprise strategy while remaining closely connected to execution. The Director will lead and develop the enterprise data and analytics team, establish trusted data products and analytical capabilities, and partner with business and technology leaders to improve data quality, accessibility, governance, decision-making, and adoption. The successful candidate will be an enterprise-minded leader who can see the big picture, translate strategy into action, and build alignment across organizational boundaries. This role is well suited to someone who takes initiative, works effectively across multiple priorities, embraces change and innovation, makes timely decisions, and inspires others to commit to ambitious outcomes." - "Why this role matters The Director of Enterprise Data & Analytics will help determine how Merchants Fleet uses data to better serve clients, improve operations, manage risk, enable employees, and advance AI-enabled capabilities. The role offers the opportunity to build an enduring enterprise foundation while leading a team and influencing important decisions across the organization." - "The leadership environment This is a fast-moving role with broad enterprise visibility and a varied portfolio of responsibilities. The successful leader will be energized by change, innovation, problem-solving, and the opportunity to influence others. The role requires a balance of urgency and judgment, along with the ability to delegate appropriately while maintaining accountability for accurate, timely results." We could combine these into About the role. Responsibilities: "What you will lead" bullet list: - Own the enterprise data and analytics strategy, operating model, data and information architecture, and multiyear roadmap. - Establish data products and analytical capabilities with clear business ownership, stewardship, technical accountability, service expectations, and measures of success. - Serve as a trusted data and analytics advisor to senior business and technology leaders. - Lead the delivery and operation of secure, scalable, reliable, cost-effective, and supportable enterprise data and analytics platforms. - Establish and lead the enterprise data governance operating model, including governance forums, stewardship responsibilities, decision rights, issue escalation, and policy oversight. - Set practical standards and controls for data sourcing, quality, metadata, master data, privacy, security, retention, licensing, traceability, and cost. - Directly manage, coach, and develop the enterprise data and analytics team, establishing clear priorities, performance expectations, development plans, and delivery commitments. - Expand self-service analytics, data literacy, and adoption by connecting new capabilities to meaningful business outcomes. - Provide the trusted data, governance, architecture, platform, security, quality, and analytical foundation needed to support advanced analytics and prioritized AI use cases. - Partner with Enterprise Solutions & Architecture to align data, information, application, integration, security, and technology architecture. - Manage enterprise data investments, resources, vendors, performance measures, risks, and executive reporting. That's a list. How you will lead bullet list (competencies): - Enterprise Leadership: operate in best interest of whole organization, build trust across functions, navigate competing priorities constructively, sponsor initiatives that support the enterprise even when they extend beyond the data function. - Strategic Thinking: anticipate emerging opportunities and risks, challenge assumptions, evaluate meaningful tradeoffs, direct talent, technology, and investment toward priorities that create greatest long-term value. - Accountability: translate strategy into clear ownership, meaningful performance measures, and sustained results; communicate openly about risks and gaps, make timely corrective decisions, hold yourself and others accountable for outcomes and conduct. - Service: keep clients, business partners, colleagues, and broader organization at center of data decisions; establish clear service expectations, remove systemic barriers, balance responsiveness with sustainable enterprise solutions. - People Leadership: set clear expectations, develop talent, encourage open dialogue, provide direct and constructive feedback, create environment where team members are supported, challenged, and accountable. These could be under Requirements or Skills. They are leadership competencies, maybe under Requirements. What will help you succeed bullet list: - Strong business acumen and ability to translate enterprise priorities into practical data and analytics strategies. - Demonstrated leadership of multidisciplinary teams, enterprise programs, and complex organizational change. - Advanced data literacy and broad practical expertise across data strategy, governance, architecture, integration, warehousing, business intelligence, metadata, master data, data quality, modeling, visualization, privacy, security, and regulatory compliance. - Familiarity with modern data operating models, data products, data marketplaces, self-service analytics, and AI-enabled decision support. - Experience leading in a modern cloud data and analytics environment, with exposure to technologies such as Snowflake, Microsoft Azure, Microsoft Fabric, Power BI, Databricks, Atlan, Matillion, SQL-based platforms, or comparable tools. - Strong executive communication, facilitation, judgment, and relationship-building skills. - The confidence to take initiative, make decisions, address ambiguity, and maintain momentum across multiple priorities. - The ability to gain commitment through influence, positive communication, and a clear connection between the work and its business value. Education and experience: - Bachelor’s degree in computer science, data science, information science, business, or a related field, or an equivalent combination of education and relevant experience. - Ten or more years of progressively responsible experience in data and analytics, information management, technology, business management, or a related discipline. - Five or more years of progressive leadership experience leading teams, cross-functional programs, and enterprise initiatives. - Demonstrated success developing and executing enterprise data, analytics, information architecture, or governance strategies that produce measurable business outcomes. - Proven capability to align complex business processes, information assets, operating models, and performance measures across functions. - A track record of influencing executive investment decisions through compelling business cases, strategic roadmaps, and long-range planning. - Experience building or maturing data governance, stewardship, data operating models, or enterprise data organizations. - Familiarity with fleet management, transportation, asset-intensive operations, auto finance, lending, leasing, securitization, or another regulated and data-intensive industry is preferred. Location/hybrid: "Location: Merchants Fleet Headquarters- Hooksett, NH (Hybrid)". That's schedule. We should not include benefits or pay. Now we need to output HTML fragment with sections. We need to decide which sections to include: About the role, Responsibilities, Requirements (maybe combine education/experience and what will help you succeed?), Skills (maybe the "What will help you succeed" list), but we need to avoid thin sections. Could combine Requirements and Skills into one "Requirements" section that includes education/experience, skills, competencies. But the rule says use headings for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We can choose which to include. We could have About the role, Responsibilities, Requirements, Skills, Schedule. That seems reasonable. We must not repeat job title as heading. We must not include filler. Let's craft:
About the role
...combined paragraphs...
Responsibilities
- ... each item ...
Requirements
Education and experience:
- Bachelor’s degree in computer science, data science, information science, business, or a related field, or an equivalent combination of education and relevant experience.
- Ten or more years of progressively responsible experience in data and analytics, information management, technology, business management, or a related discipline.
- Five or more years of progressive leadership experience leading teams, cross-functional programs, and enterprise initiatives.
- Demonstrated success developing and executing enterprise data, analytics, information architecture, or governance strategies that produce measurable business outcomes.
- Proven capability to align complex business processes, information assets, operating models, and performance measures across functions.
- A track record of influencing executive investment decisions through compelling business cases, strategic roadmaps, and long-range planning.
- Experience building or maturing data governance, stewardship, data operating models, or enterprise data organizations.
- Familiarity with fleet management, transportation, asset-intensive operations, auto finance, lending