Manager, Data & Analytics

We need to output HTML fragment with sections: h3 headings for sections present: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to include only sections with real content. From job description: It starts with description about role, responsibilities, etc. Let's parse. Paragraphs: "Data plays an increasingly critical role..." This is about the role. "As we continue to modernize our analytics and data capabilities, we re looking for a collaborative and hands-on data leader who can help transform complex business data into trusted, actionable insights. In this role, you ll work at the intersection of business, data, and technology, helping shape scalable analytics solutions that enable smarter decision-making across the organization. You ll partner with stakeholders across Trading, Finance, Operations, and Technology while contributing to the evolution of our modern data platform, analytics architecture, and data product strategy. This is an opportunity to solve complex data challenges, influence enterprise-wide initiatives, and play a meaningful role in building the foundation for the organization s future analytics capabilities." That's description/responsibilities. Then "Qualifications Required Qualifications Bachelor s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline.8+ years of experience in analytics, business intelligence, data architecture, data management, or related technology roles.Experience designing and delivering enterprise analytics solutions and data products.Strong understanding of data modeling concepts, including conceptual, logical, and physical data design.Experience working with cloud-based data and analytics platforms.Ability to translate business requirements into scalable analytics and data solutions.Strong stakeholder management, communication, and problem-solving skills." Then "Preferred Qualifications Experience supporting Energy, Utilities, Oil & Gas, Commodity Trading, Financial Services, or other highly data-intensive industries.Experience working with Databricks, Lakehouse architectures, and modern cloud data platforms.Experience with Data Products, Data Mesh, modern analytics operating models, or enterprise data transformation initiatives.Familiarity with trading systems, market operations, financial reporting, and risk-related business processes.Experience with data governance, metadata management, and enterprise data quality programs.Experience working within Agile product and delivery environments.Demonstrated success partnering across business and technical teams to deliver impactful data and analytics solutions." Then "Additional Information Level: Manager Compensation: Depending on experience - Range of 130,000 - 160,000 USD Benefits Of Working Here An inclusive workplace that promotes diversity and collaboration.Access to ongoing learning and development opportunities.Competitive compensation and benefits package.Flexibility to support work-life balance.Comprehensive health benefits for you and your family.Generous paid leave and holidays.Wellness program and employee assistance. The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value." We need to remove boilerplate: EEO, accommodation, company description maybe? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So we should remove EEO paragraph and accommodation line. Also remove company description? It's not explicitly listed as boilerplate but maybe it's okay to keep? The instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. Company description is not necessarily boilerplate but could be considered generic. However we might keep it as it's substantive about the company. But we might drop it to keep focus on job. The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." Company description is substantive about the employer, but not about the job. Might be okay to keep but could be considered boilerplate? Usually job postings include company description; it's not prohibited. I'd keep it. We need sections: About the role (maybe the initial paragraph), Responsibilities (maybe the part about partnering with stakeholders, shaping solutions, solving challenges), Requirements (maybe required qualifications), Qualifications (maybe preferred qualifications), Skills (maybe stakeholder management etc), Benefits (list of benefits), Pay (compensation range), Schedule (if any). There's no explicit schedule info, so we should not create Schedule section. We need to use

for section headings. Use

• for any list of duties/requirements/benefits. Use

  for prose. We need to avoid repeating job title as heading. No Job ID. We need to include only sections with real content. Let's extract content: About the role: Could be the first paragraph: "Data plays an increasingly critical role in how we operate, manage risk, support trading decisions, optimize financial performance, and drive business growth. As we continue to modernize our analytics and data capabilities, we re looking for a collaborative and hands-on data leader who can help transform complex business data into trusted, actionable insights." That's about the role. Responsibilities: The rest of that paragraph: "In this role, you ll work at the intersection of business, data, and technology, helping shape scalable analytics solutions that enable smarter decision-making across the organization. You ll partner with stakeholders across Trading, Finance, Operations, and Technology while contributing to the evolution of our modern data platform, analytics architecture, and data product strategy. This is an opportunity to solve complex data challenges, influence enterprise-wide initiatives, and play a meaningful role in building the foundation for the organization s future analytics capabilities." We could combine as responsibilities. Requirements: Required qualifications list. We need to format as list items. Required qualifications: - Bachelor s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline. - 8+ years of experience in analytics, business intelligence, data architecture, data management, or related technology roles. - Experience designing and delivering enterprise analytics solutions and data products. - Strong understanding of data modeling concepts, including conceptual, logical, and physical data design. - Experience working with cloud-based data and analytics platforms. - Ability to translate business requirements into scalable analytics and data solutions. - Strong stakeholder management, communication, and problem-solving skills. Preferred qualifications list: - Experience supporting Energy, Utilities, Oil & Gas, Commodity Trading, Financial Services, or other highly data-intensive industries. - Experience working with Databricks, Lakehouse architectures, and modern cloud data platforms. - Experience with Data Products, Data Mesh, modern analytics operating models, or enterprise data transformation initiatives. - Familiarity with trading systems, market operations, financial reporting, and risk-related business processes. - Experience with data governance, metadata management, and enterprise data quality programs. - Experience working within Agile product and delivery environments. - Demonstrated success partnering across business and technical teams to deliver impactful data and analytics solutions. Skills: Could be derived from required qualifications like stakeholder management etc. But we already have that in required. Might combine. Benefits: List from "Benefits Of Working Here": inclusive workplace, ongoing learning, competitive compensation, flexibility, comprehensive health benefits, generous paid leave, wellness program, employee assistance. Pay: Compensation range: Depending on experience - Range of 130,000 - 160,000 USD. Schedule: none. We also have "Additional Information Level: Manager". Could be included maybe as a note under About the role or separate? Could be a short paragraph. We need to avoid filler like "Depending on experience - Range of". That's actual content, okay. We need to output only HTML fragment. Let's structure:

  About the role

  Data plays an increasingly critical role in how we operate, manage risk, support trading decisions, optimize financial performance, and drive business growth. As we continue to modernize our analytics and data capabilities, we re looking for a collaborative and hands-on data leader who can help transform complex business data into trusted, actionable insights.

  Responsibilities

  In this role, you ll work at the intersection of business, data, and technology, helping shape scalable analytics solutions that enable smarter decision-making across the organization. You ll partner with stakeholders across Trading, Finance, Operations, and Technology while contributing to the evolution of our modern data platform, analytics architecture, and data product strategy. This is an opportunity to solve complex data challenges, influence enterprise-wide initiatives, and play a meaningful role in building the foundation for the organization s future analytics capabilities.

  Requirements

  • Bachelor s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline.
  • 8+ years of experience in analytics, business intelligence, data architecture, data management, or related technology roles.
  • Experience designing and delivering enterprise analytics solutions and data products.
  • Strong understanding of data modeling concepts, including conceptual, logical, and physical data design.
  • Experience working with cloud-based data and analytics platforms.
  • Ability to translate business requirements into scalable analytics and data solutions.
  • Strong stakeholder management, communication, and problem-solving skills.

  Preferred Qualifications

  • Experience supporting Energy, Utilities, Oil & Gas, Commodity Trading, Financial Services, or other highly data-intensive industries.
  • Experience working with Databricks, Lakehouse architectures, and modern cloud data platforms.
  • Experience with Data Products, Data Mesh, modern analytics operating models, or enterprise data transformation initiatives.
  • Familiarity with trading systems, market operations, financial reporting, and risk-related business processes.
  • Experience with data governance, metadata management, and enterprise data quality programs.
  • Experience working within Agile product and delivery environments.
  • Demonstrated success partnering across business and technical teams to deliver impactful data and analytics solutions.

  Benefits

  • An inclusive workplace that promotes diversity and collaboration.
  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.

  Pay

  Depending on experience - Range of 130,000 - 160,000 USD

  Optionally include Level: Manager as a short p under About the role or separate section "Additional Information". Could add a short p: "Level: Manager". But we need to decide if we want a separate section. The instruction: Prefer a few substantive sections over many thin ones. Could incorporate Level into About the role paragraph. Let's add after About the role: maybe a p: "Level: Manager". Or incorporate: "This is a Manager-level position." But we must not invent. The text says "Level: Manager". We can add a p: "Level: Manager". That's fine. We also have company description; we could keep as a final section "About the company". But not required. Might be considered