PulteGroup
Job Summary:
This senior‑level position bridges business strategy and technical execution for modern analytical data platforms. The role requires a deep understanding of business processes, enterprise systems, and their underlying data models. The individual will define analytical and operational metrics, prioritize use cases, and manage the team backlog to deliver scalable, high‑quality data solutions. The individual leads team initiatives while contributing to multiple IT projects with minimal oversight, demonstrating expertise across data domains, business processes, and technology integrations. As a subject‑matter expert, this role ensures alignment between IT capabilities and business objectives.
Primary Job Responsibilities Data Ownership and Business Analysis
Act as the product owner for assigned data domains, ensuring data quality, accessibility, and usability.
Engage with stakeholders to understand business processes, pain points, and analytical needs.
Map existing systems and their data models to identify integration points and gaps.
Define analytical and operational metrics aligned with business objectives.
Produce source‑to‑target mapping documentation to support the defined metrics.
Platform Strategy & Design
Translate business requirements into technical specifications for a modern analytical data platform.
Collaborate with data engineering teams to design and optimize data pipelines, semantic models, and governance frameworks.
Ensure alignment with enterprise architecture, scalability, and compliance standards.
Backlog Management
Own and prioritize the product backlog for the data platform team.
Break down epics into actionable user stories with clear acceptance criteria.
Balance strategic initiatives with operational enhancements to maximize business value.
Governance & Quality
Champion data quality, security, and governance best practices.
Establish standards for metadata, lineage, and data stewardship.
Collaboration & Leadership
Act as a liaison between business stakeholders, data engineers, QA analysts, and analytics teams.
Facilitate workshops and discovery sessions to refine requirements.
Mentor junior analysts and foster a culture of continuous improvement.
Operational Support
Provide third‑level On‑Call support for critical issues, including after‑hours and weekends.
Troubleshoot production issues and ensure timely resolution or escalation.
Career Level (P3) Organizational Impact
Works to achieve day‑to‑day objectives with significant impact on operational results within area of work.
Works independently under limited supervision.
May be responsible for entire projects or processes within area.
Typically, responsible for coaching and reviewing the work of lower‑level professionals.
Leadership & Talent Management
May be responsible for providing guidance, coaching and training to other employees within functional area.
May manage projects at this level, requiring responsibility for the delegation of work and the review of others' work product.
Knowledge & Experience
Requires broad knowledge of area typically obtained through advanced education combined with experience. May have practical knowledge of program or project management.
Minimum high school diploma or equivalent (GED) required.
Typically requires a university degree or equivalent experience and minimum 4‑6 years of prior relevant experience.
Required Skills
7+ years of experience in data analytics, data engineering, or product ownership roles.
Strong knowledge of enterprise systems, conceptual/logical data modeling, and integration patterns. Experience with modern data platforms (e.g., Microsoft Fabric, Azure Synapse, Snowflake).
Proficiency in SQL.
Expertise in backlog management tools (e.g., Azure DevOps, Jira) and Agile methodologies.
Excellent communication and stakeholder management skills.
Strong understanding of the product life cycle, from discovery to delivery.
Preferred Qualifications: Experience with Power BI or similar BI tools, Knowledge of DataOps practices and cloud‑native architectures, Familiarity with Python for prototyping, Familiarity with data governance frameworks.
Required Licensing, Registration and/or Certifications
Not applicable.
Physical Requirements
May require travel.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status or any other characteristic protected by law. We will provide a reasonable accommodation to a qualified applicant with a disability that will enable the individual to have an equal opportunity to participate in the application process and to be considered for a job.
This Organization Participates in e‑Verify.
California Privacy Policy.
PulteGroup, Inc. and its affiliates do not accept unsolicited resumes from individual recruiters or third‑party recruiting agencies (collectively, “Recruiters”) in response to job postings. If Recruiters nevertheless submit one or more unsolicited resumes to any employee at PulteGroup, Inc. or its affiliates without a valid written agreement in place for this position, it will be deemed the sole property of PulteGroup, Inc. and its affiliates. No fee will be owing or paid to Recruiters who submit unsolicited candidates, in the event the candidate is hired by PulteGroup, Inc. or its affiliates as a result of the referral, without a written agreement between PulteGroup, Inc. and ...
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Primary Job Responsibilities Data Ownership and Business Analysis
Act as the product owner for assigned data domains, ensuring data quality, accessibility, and usability.
Engage with stakeholders to understand business processes, pain points, and analytical needs.
Map existing systems and their data models to identify integration points and gaps.
Define analytical and operational metrics aligned with business objectives.
Produce source‑to‑target mapping documentation to support the defined metrics.
Platform Strategy & Design
Translate business requirements into technical specifications for a modern analytical data platform.
Collaborate with data engineering teams to design and optimize data pipelines, semantic models, and governance frameworks.
Ensure alignment with enterprise architecture, scalability, and compliance standards.
Backlog Management
Own and prioritize the product backlog for the data platform team.
Break down epics into actionable user stories with clear acceptance criteria.
Balance strategic initiatives with operational enhancements to maximize business value.
Governance & Quality
Champion data quality, security, and governance best practices.
Establish standards for metadata, lineage, and data stewardship.
Collaboration & Leadership
Act as a liaison between business stakeholders, data engineers, QA analysts, and analytics teams.
Facilitate workshops and discovery sessions to refine requirements.
Mentor junior analysts and foster a culture of continuous improvement.
Operational Support
Provide third‑level On‑Call support for critical issues, including after‑hours and weekends.
Troubleshoot production issues and ensure timely resolution or escalation.
Career Level (P3) Organizational Impact
Works to achieve day‑to‑day objectives with significant impact on operational results within area of work.
Works independently under limited supervision.
May be responsible for entire projects or processes within area.
Typically, responsible for coaching and reviewing the work of lower‑level professionals.
Leadership & Talent Management
May be responsible for providing guidance, coaching and training to other employees within functional area.
May manage projects at this level, requiring responsibility for the delegation of work and the review of others' work product.
Knowledge & Experience
Requires broad knowledge of area typically obtained through advanced education combined with experience. May have practical knowledge of program or project management.
Minimum high school diploma or equivalent (GED) required.
Typically requires a university degree or equivalent experience and minimum 4‑6 years of prior relevant experience.
Required Skills
7+ years of experience in data analytics, data engineering, or product ownership roles.
Strong knowledge of enterprise systems, conceptual/logical data modeling, and integration patterns. Experience with modern data platforms (e.g., Microsoft Fabric, Azure Synapse, Snowflake).
Proficiency in SQL.
Expertise in backlog management tools (e.g., Azure DevOps, Jira) and Agile methodologies.
Excellent communication and stakeholder management skills.
Strong understanding of the product life cycle, from discovery to delivery.
Preferred Qualifications: Experience with Power BI or similar BI tools, Knowledge of DataOps practices and cloud‑native architectures, Familiarity with Python for prototyping, Familiarity with data governance frameworks.
Required Licensing, Registration and/or Certifications
Not applicable.
Physical Requirements
May require travel.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status or any other characteristic protected by law. We will provide a reasonable accommodation to a qualified applicant with a disability that will enable the individual to have an equal opportunity to participate in the application process and to be considered for a job.
This Organization Participates in e‑Verify.
California Privacy Policy.
PulteGroup, Inc. and its affiliates do not accept unsolicited resumes from individual recruiters or third‑party recruiting agencies (collectively, “Recruiters”) in response to job postings. If Recruiters nevertheless submit one or more unsolicited resumes to any employee at PulteGroup, Inc. or its affiliates without a valid written agreement in place for this position, it will be deemed the sole property of PulteGroup, Inc. and its affiliates. No fee will be owing or paid to Recruiters who submit unsolicited candidates, in the event the candidate is hired by PulteGroup, Inc. or its affiliates as a result of the referral, without a written agreement between PulteGroup, Inc. and ...
#J-18808-Ljbffr