Product Owner - Data
TechHuman · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
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Job highlights
- Lead data engineering and analytics in retail.
- Bridge business needs and technical teams.
- Manage backlogs, roadmaps, and ELT projects.
- Utilize SQL, data modeling, and cloud platforms.
- Drive data solutions from concept to delivery.
About the role
Product Owner - Data Engineering and Analytics
TechHuman is seeking an experienced Product Owner to lead data engineering and analytics initiatives within a retail environment. This role will partner closely with business stakeholders and technical teams to define requirements, manage backlogs and roadmaps, oversee ELT projects in hybrid cloud environments, and drive successful delivery of data-focused solutions. The ideal candidate combines strong product ownership, business analysis, and project management experience with a practical understanding of SQL, data modeling, cloud platforms, and business intelligence tools.
Responsibilities
- Lead and drive data-focused initiatives, owning implementations from requirements gathering through delivery, without relying on centralized PMO resources for smaller projects.
- Serve as the primary liaison between internal business partners and technical teams, framing problems, leading discussions, and acting as a trusted ambassador for the data function.
- Gather, analyze, and translate business requirements into clear backlog items, roadmaps, and delivery plans.
- Oversee and coordinate ETL/ELT-related initiatives, with a primary focus on ELT in hybrid cloud environments.
- Use SQL at a practical level to query databases, understand data relationships, and validate requirements and outputs.
- Standardize product and project management artifacts, including backlogs, roadmaps, templates, and customer engagement models.
- Track and report on KPIs such as cycle times, delivery efficiency, and team performance as part of a maturing product management function.
- Establish and manage OKR frameworks to support implementation, business analysis, and project management capabilities.
Must-Haves
- 3+ Years’ experience in a similar role as a Product Owner for Business Units which drive Data Engineering & Analytics.
- 3 Additional years of experience in Project Management and/or Business/Data Analyst roles, with specific expertise in data environments at-scale.
- Professional experience in the Retail industry.
- Solid business analysis skills, including requirements elicitation and stakeholder management.
- Working knowledge of SQL querying and data modeling, with the ability to explore tables, columns, and data relationships.
- Experience working in hybrid cloud environments using major public cloud platforms (e.g. AWS, Azure, or GCP).
- Experience with BI and reporting tools (DOMO, Tableau, etc.).
Nice-to-Haves
- Familiarity with tools and platforms such as Informatica, Snowflake, and Excel.
- Exposure to data science concepts and analytics-driven decision-making.
- Experience helping organizations mature their product management practices, including backlog governance and roadmap standardization.
- Background working with both technically oriented and business-focused stakeholders.
Key skills/competency
- Product Ownership
- Data Engineering
- Analytics
- Retail Industry
- SQL
- Data Modeling
- Cloud Platforms
- Business Intelligence
- Project Management
- Stakeholder Management
Skills & topics
- Product Owner
- Data Engineering
- Analytics
- Retail
- SQL
- Data Modeling
- Cloud Platforms
- BI Tools
- Project Management
- Business Analysis
- ELT
- Hybrid Cloud
- AWS
- Azure
- GCP
- DOMO
- Tableau
- Stakeholder Management
- Roadmap
- Backlog
How to get hired
- Tailor your resume: Highlight your Product Owner experience in data engineering and analytics, emphasizing retail industry specifics.
- Showcase technical skills: Detail your proficiency in SQL, data modeling, cloud platforms (AWS, Azure, GCP), and BI tools.
- Quantify achievements: Use metrics to demonstrate your impact on data initiatives and project delivery.
- Research TechHuman: Understand their mission, values, and how your data expertise aligns with their goals.
- Prepare for interviews: Be ready to discuss your experience with ELT, hybrid cloud, and stakeholder management.
Technical preparation
Practice SQL queries for data exploration.,Model data structures for retail scenarios.,Familiarize with hybrid cloud concepts.,Review common BI tool functionalities.
Behavioral questions
Describe a complex data project you led.,How do you translate business needs to data requirements?,Share an experience managing stakeholder expectations.,How do you drive initiatives without PMO support?
Frequently asked questions
- What are the key responsibilities of a Product Owner at TechHuman for data initiatives?
- As a Product Owner at TechHuman, you'll lead data engineering and analytics projects, acting as the primary liaison between business stakeholders and technical teams. Your responsibilities include gathering requirements, managing backlogs and roadmaps, overseeing ELT projects in hybrid cloud environments, and ensuring the successful delivery of data-focused solutions.
- What technical skills are essential for the Product Owner - Data Engineering and Analytics role at TechHuman?
- Essential technical skills include a working knowledge of SQL querying and data modeling to understand data relationships. You'll also need experience with hybrid cloud environments (AWS, Azure, or GCP) and familiarity with BI and reporting tools like DOMO or Tableau.
- Does TechHuman require specific industry experience for this Product Owner position?
- Yes, TechHuman specifically requires professional experience in the Retail industry for this Product Owner role. This demonstrates an understanding of the unique data challenges and opportunities within the retail sector.
- How does TechHuman approach project management for data initiatives?
- For smaller projects, TechHuman expects the Product Owner to lead implementations independently, without relying on centralized PMO resources. You will be responsible for defining requirements, managing backlogs and roadmaps, and driving delivery.
- What does TechHuman look for in terms of product management maturity?
- TechHuman is interested in candidates who can help mature their product management function. This includes tracking KPIs like cycle times and delivery efficiency, establishing OKR frameworks, and standardizing product and project management artifacts.
- What are the 'must-have' qualifications for the Product Owner role at TechHuman?
- The 'must-haves' include 3+ years as a Product Owner for Data Engineering & Analytics, plus 3 additional years in Project Management or Business/Data Analysis. Retail industry experience, solid business analysis skills, SQL and data modeling knowledge, hybrid cloud experience, and BI tool familiarity are also required.