Data and IT Product Owner

Improveit Home Remodeling•Columbus, OH

20d

About The Position

Improveit! Home Remodeling is seeking a Data and IT Product Owner to own and deliver high-value data, analytics, and IT-enabled solutions that support business operations, decision-making, and growth. In our 35th year, having completed over 53,000 jobs, this role is central to executing priorities across data products, BI capabilities, application integrations, and operational tools—ensuring timely delivery of consumable insights, streamlined workflows, and reliable technology that drives efficiency and business outcomes during our digital transformation. The Data and IT Product Owner will serve as the primary advocate for business stakeholders, owning the product backlog for key data, martech and IT products. This includes Omni BI Admin (dashboards, mobile access, governance, self-service analytics), marketing systems and campaign tracking (e.g., SFMC lists, lead scoring, attribution, website tagging), internal marketing engine optimizations (for cost per inquiry and conversion efficiency targets). Reporting into the EVP of Data and IT and collaborating closely with marketing, sales, operations, data engineering, infrastructure, BI/analytics, application engineers, application owners, and field teams, this role helps translates cross-functional needs into actionable requirements, prioritizes and drives agile execution, supports related helpdesk triage, and ensures high-quality, impactful solutions that deliver measurable value and support compliance.

Requirements

Bachelor’s degree in business, Information Technology, Data Analytics, Marketing, or related field (or equivalent experience)
5+ years in product ownership, business analysis, operations, or analytics roles, with proven success delivering data, BI, or IT solutions in Agile environments
Hands-on experience with BI tools (Power BI, Tableau, Strategy), SQL for data querying, Salesforce Marketing Cloud (SFMC lists/campaigns), CRM integrations, website analytics/tagging, and agile tools (Jira, Confluence, Asana)
Familiarity with data platforms (Snowflake, Airbyte/dbt pipelines), marketing KPIs (cost per inquiry, conversion efficiency, attribution, lead scoring), and basic data governance concepts
Excellent communication, facilitation, and collaboration skills to bridge business and technical audiences
Detail-oriented, proactive mindset with strong execution focus and ability to adapt in a fast-paced environment

Nice To Haves

Experience collaborating on Data Science initiatives, such as propensity to buy models, lead scoring, or risk calculators, is a plus
Agile facilitation experience (ScrumMaster or similar desirable)
Strong business acumen with preferred exposure to Home Improvement, Field Services, Home Services, Contact Centers, or Digital Marketing

Responsibilities

Product Backlog Ownership & Agile Delivery: Own and prioritize the backlog for data and IT products, including Omni BI dashboards and self-service capabilities, marketing analytics and campaign tracking (SFMC lists, issued lead scoring, website tagging, attribution), internal marketing engine enhancements (lower cost per inquiry, CE targets), data pipelines (Airbyte + dbt), Snowflake consumption, Verisk data, and supporting application integrations/workflows
Translate business and functional requirements into user stories, epics, and tasks; continuously groom the backlog and facilitate delivery with data engineering, BI, application engineers, and other teams.
Run agile ceremonies (daily stand-ups, sprint planning, retrospectives) for assigned delivery streams to ensure on-time, high-quality execution
Requirements Gathering & Stakeholder Collaboration: Support and Lead as needed (in concert with the Data Analysts) discovery sessions, workshops, and interviews with stakeholders across marketing, sales, operations, and other business units to gather, refine, and document needs for analytics, reporting, lead management, campaign performance, operational workflows, and data enablement
Serve as the primary liaison between business units and technical teams (data, apps, infra) to align on solutions, resolve blockers, and incorporate feedback
Provide input on data flows, integrations, tool configurations, tagging accuracy, and governance to enable effective business operations
Analytics, Insights & Value Delivery: Develop strong understanding of business processes to define/track key metrics (e.g., cost per inquiry, conversion efficiency, lead quality/score accuracy, campaign ROI, attribution, dashboard adoption) and identify optimization opportunities
Help define (with the Data Analysts) design and delivery of consumable dashboards, reports, and analytical outputs (Omni BI) to support data-driven decisions across the organization
Collaborate with Data Science teams on model development and integration, including propensity to buy models, lead scoring algorithms, and risk calculators, to incorporate predictive insights into products and workflows
Iterate on solutions using usage data, stakeholder feedback, and performance trends to improve efficiency, reduce costs, and increase business impact
Data Enablement, Governance & Support: Support data quality, consistency, and usability efforts (e.g., glossary terms, lineage for key datasets, quality checks for leads, tagged events, marketing lists, Omni flows)
Ensure data products and tools are accurate, compliant, and adopted through guidance, enablement, and clear communication
Triage and route data-, analytics-, and application-related helpdesk tickets (e.g., Omni, Snowflake, pipelines, dashboards, SFMC, Salesforce) and coordinate resolution
Documentation & Best Practices: Maintain backlog items, user stories, requirements documentation, process notes, and enablement materials
Promote best practices for data usage, analytics consumption, tagging hygiene, lead scoring, SFMC list management, and omni-channel configurations
Analytics to Report/Maintain Delivery & Execution: Backlog health, sprint velocity, on-time delivery rate for data/IT initiatives
Business Impact: KPI achievement (e.g., CPI reductions, CE targets, lead quality improvements, campaign ROI), dashboard/report adoption and usage rates
Optimization & Quality: Marketing/operational efficiency gains, data completeness/coverage, tagging implementation rates, attribution accuracy
Governance & Support: Data quality scores, ticket resolution times (data/app-related), stakeholder satisfaction
Overall: Monthly trends in value delivered, issue trends, feedback scores