Manager, Data & Analytics

We need to output HTML fragment with sections: About the role (position summary), Responsibilities (Essential Duties & Responsibilities), Requirements (Qualifications & Requirements), maybe Skills? Could combine. Also Benefits: there is a Benefits section later describing benefits. Pay: salary range given. Schedule: mention hybrid work model requiring in-person attendance at least three days per week. Also maybe location: Approved office locations can be found below (but no specifics). We should not include placeholders. We need to include only sections with real content. We must not repeat job title as heading. No Job ID. Remove boilerplate like EEO, legal, application instructions, cookie/navigation, duplicated lines. Also remove "Benefits for internship positions" etc? Those are still benefits but maybe too specific; but we can keep generic benefits description. The posting includes a Benefits paragraph: "Benefits: We understand that your needs..." and then link. Also includes details about internship/seasonal etc. We can keep the generic benefits description and maybe mention link. Should we include the link? Probably yes as part of benefits. Pay: base salary range $144,000-$200,000. Schedule: hybrid work model requiring in-person attendance at least three days per week. Also maybe "About Us" and "About The Team" could be considered "About the role"? But instructions: use headings for section headings e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we should map content accordingly. We have position summary: "Manager, Data & Analytics – Position Summary: Grant Thornton GTech’s vision ...". That's About the role. Responsibilities: Essential Duties & Responsibilities list. Qualifications & Requirements: that's Requirements. Skills: maybe we can extract from qualifications: strong problem-solving, communication, documentation, stakeholder management skills, ability to explain technical concepts, etc. Could make a Skills section. Benefits: we have Benefits paragraph. Pay: salary range. Schedule: hybrid work model. We should not create sections with filler like "commensurate with experience". Not present. We need to preserve all substantive information; do not invent or summarize away detail. So we need to keep details from each section. We must output only HTML fragment, no /, no markdown fences. We'll produce something like:

About the role

Grant Thornton GTech’s vision is centered around enabling scalable, secure, and repeatable data integration capabilities that support enterprise transformation, mergers and acquisitions, and modern analytics. The Data & Analytics function is responsible for designing and delivering governed data solutions that connect critical business and technology systems while enabling trusted reporting, archival, and analytics at scale. The Manager, Data & Analytics will be responsible for designing, building, testing, and supporting data pipelines within enterprise standards that enable the integration of systems from acquired companies, as well as data archival in Snowflake. This role will work closely with data architecture, enterprise architecture, application teams, security, infrastructure, implementation partners, and business stakeholders to deliver reliable, governed, and reusable data integration capabilities that support M&A integration, operational continuity, compliance, reporting, analytics, and long-term data asset management.

Responsibilities

• Design, build, test, and support enterprise data pipelines that enable integration of systems, applications, and data assets from acquired companies.
• Implement data ingestion, transformation, validation, and archival patterns that align with enterprise data architecture, security, governance, and operational standards.
• Support data archival solutions in Snowflake that enable acquired-company integration, historical reporting, data retention, compliance, and future analytics needs.
• Work with data architecture and enterprise architecture teams to ensure pipeline designs follow approved architecture patterns, naming conventions, metadata practices, access controls, and integration standards.
• Collaborate with M&A integration, application, infrastructure, security, and business teams to understand source-system requirements, data dependencies, integration timelines, archival needs, and target-state usage patterns.
• Translate business, technical, and integration requirements into data pipeline designs, data mappings, transformation logic, quality rules, and deployment activities.
• Develop and maintain scalable data engineering processes for batch, incremental, and event-driven data movement, where appropriate, across enterprise platforms and acquired-company systems.
• Implement data quality checks, reconciliation routines, exception handling, monitoring, and operational controls to ensure pipelines are reliable, auditable, and production-ready.
• Support data migration and archival activities by coordinating source extracts, transformation rules, target loading, validation outcomes, and issue resolution across internal and partner teams.
• Work with analytics and reporting stakeholders to ensure integrated and archived data assets are structured to support downstream business intelligence, analytics, AI, and operational reporting use cases.
• Coordinate with implementation vendors and technology teams to execute delivery activities, resolve blockers, validate deliverables, and ensure adherence to enterprise standards.
• Create and maintain technical documentation, including data flow diagrams, pipeline specifications, source-to-target mappings, operational runbooks, metadata, and support handoff materials.
• Support go-live readiness, cutover planning, data validation, post go-live hypercare, and transition of pipelines to steady-state data operations.
• Identify opportunities to improve data engineering patterns, automation, reuse, performance, cost efficiency, data observability, and operational supportability.
• Promote strong data engineering discipline, secure data handling, and consistent implementation practices within the Data & Analytics function.
• Other duties as assigned.

Requirements

• 6+ years of experience in data engineering, data integration, data architecture, analytics engineering, application integration, or related enterprise technology roles.
• Demonstrated experience designing, developing, and supporting production data pipelines using modern ETL/ELT, orchestration, data warehousing, data lake, or cloud data platform technologies.
• Hands-on experience with Snowflake, including data loading, transformation, schema design, performance considerations, access patterns, and operational support concepts.
• Experience integrating data from multiple enterprise systems, acquired-company systems, SaaS platforms, ERP systems, operational applications, or legacy technology environments.
• Working knowledge of source-to-target mapping, data transformation, data validation, reconciliation, data quality, metadata, lineage, and pipeline monitoring practices.
• Understanding of enterprise data architecture standards, data security, access management, privacy, data retention, archival patterns, and governed data delivery practices.
• Experience working with business stakeholders, application teams, architects, security, infrastructure, vendors, and delivery partners to translate requirements into implemented data solutions.
• Ability to work in a fast-paced integration environment with multiple priorities, dependencies, delivery milestones, and business continuity requirements.
• Strong problem-solving, communication, documentation, and stakeholder management skills, with the ability to explain technical concepts clearly to both technical and business audiences.
• Bachelor’s degree in Information Systems, Computer Science, Engineering, Data Analytics, Business, or related field required; relevant cloud/data certifications preferred.

Skills

• Strong problem-solving
• Communication
• Documentation
• Stakeholder management
• Ability to explain technical concepts to technical and business audiences

But note that skills may duplicate content from requirements; but we can still include if we want. However instructions: prefer a few substantive sections over many thin ones. Might be better to omit Skills and incorporate into Requirements. But we already have Requirements covering skills. So we can skip Skills section. Benefits: we have a paragraph: "Benefits: We understand that your needs, responsibilities and experiences are different, and we think that’s a good thing. That’s why we support you with personalized and comprehensive benefits that recognize and empower all the identities, roles and aspirations that make you, well, you. For an overview of our benefit offerings, please visit: https://www.grantthornton.com/careers/rewards-and-benefits". Also there is additional text about internship/seasonal etc. Might be considered boilerplate but still substantive. We'll include the generic benefits paragraph and the link. Pay: base salary range $144,000-$200,000 plus explanation. Schedule: hybrid work model requiring in-person attendance at least three days per week. We also have "Approved office locations can be found below." but no specifics; we could ignore as no detail. We also have "About Us" and "About The Team" which could be considered extra but not required headings. Might be considered boilerplate? It's substantive about company but not requested headings. Could we include as part of About the role? Probably not needed. The instruction: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text. The About Us and About The Team are specific content but not under the prescribed headings. We could incorporate them into About the role or maybe ignore because not requested headings. Safer to ignore them as they are not under the headings list; but we could include them as part of About the role? The About the role already covers position summary; adding extra about company may be okay but could be considered extra detail not requested. The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. So we should keep that info somewhere. Where to put? Could add a

after About the role before Responsibilities? But that would be extra content not under a heading. The instruction says 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. It might be okay to add other headings but they'd deviate from list. Safer to incorporate About Us and About The Team into About the role paragraph, as it's still about the role/company context. We'll add a sentence about Grant Thornton's belief etc. We need to preserve all substantive info: The About Us paragraph includes: "At Grant Thornton, we believe in making business more personal and building trust into every result – for our clients and you. Here, we go beyond your expectations of a career in professional services by offering a career path with more: more opportunity, more flexibility, and more support. It’s what makes us different, and we think being different makes us better. In the U.S., Grant Thornton delivers professional services through two specialized entities: Grant Thornton LLP, a licensed, certified public accounting (CPA) firm that provides audit and assurance services ― and Grant Thornton Advisors LLC (not a licensed CPA firm), which exclusively provides non-attest offerings, including tax and advisory services. In 2025, Grant Thornton formed a multinational, multidisciplinary platform with Grant Thornton Ireland. The platform offers a premier Trans-Atlantic advisory and tax practice, as well as independent American and Irish audit practices. With $2.7 billion in revenues and more than 50 offices spanning the U.S., Ireland and other territories, the platform delivers a singular client experience that includes enhanced solutions and capabilities, backed by powerful technologies and a roster of 12,000 quality-driven professionals enjoying exceptional career-growth opportunities and a distinctive cross-border culture. Grant Thornton is part of the Grant Thornton International Limited network, which provides access to its member firms in more than 150 global markets." About The Team paragraph: "The team you’re about to join is ready to help you thrive. Here’s how: Whether it's your work location, weekly schedule, or flex time off, we empower you with the options to work the way that it best serves your clients and your life. Consistent with the firm's hybrid work model, this position will require in-person attendance at least three days per week, either at a GT office or client site. Here, you are supported to prioritize your overall well-being through work-life