IT Senior Data Product Owner at Atmus Filtration Technologies in Nashville, TN

Job description

At Atmus, employees are viewed as people first, then colleagues. We give you the freedom and flexibility to do what you’re good at and make an impact. Work alongside today’s most innovative thinkers and help shape the future with Atmus. We are looking for a talented IT Senior Data Product Owner to join our team. Location: Nashville TN - Onsite with Flexibility (3 days in office, 2 remote) Travel: Less than 10% The IT Senior Data Product Owner is accountable for the value, quality, and adoption of an assigned portfolio of enterprise data products. The role acts as the bridge between business stakeholders and the Data & Analytics delivery team. It partners with Sales, Marketing, Customer Service, Supply Chain, Finance, and IT to understand how decisions are made, and turns those needs into trusted, governed, reusable data assets. The role owns the data product vision, roadmap, and backlog. It defines what gets built and why, sets acceptance criteria and data quality expectations, and makes sure delivered products are actually used to improve business outcomes. Data products include curated data sets, semantic models, certified KPIs and metrics, dashboards, and data services. They are built on the enterprise data platform (Snowflake and Tableau) and sourced from core systems including Oracle EBS and Fusion, Salesforce, and ServiceNow. This is a builder’s role for someone who is equally comfortable facilitating a metrics-definition workshop with business leaders, writing a crisp data user story with acceptance criteria, profiling a source table in SQL, and validating a Tableau dashboard against source. The role will deliver data capabilities that underpin the company’s commercial, customer experience, and AI roadmaps, including the integration of data from newly acquired businesses. Strategy & Business Partnership Act as the trusted data partner for business stakeholders and for the Business Analysts and Business Solutions Managers aligned to each function. Build strong relationships with business leaders to understand the decisions they make, the questions they need answered, and the KPIs that measure success. Align data product priorities with business objectives, the enterprise data strategy, and the application roadmaps of each Business Solutions domain. Serve as the single voice of “what data we’re building and why” for the Data & Analytics delivery team and stakeholders. Data Product Ownership & Roadmap Own the vision, roadmap, and release plan for assigned data products, and define each product’s purpose, consumers, scope, and success measures. Own and groom the data product backlog, balancing business value, effort, data readiness, and dependencies through a transparent prioritization framework. Decompose roadmap initiatives into Epics, Features, and User Stories, each with clear acceptance criteria, data quality thresholds, and a shared definition of done. Track and report data product adoption, usage, value delivered, and quality metrics to senior leadership. Identify opportunities to consolidate redundant reports and data sets into certified, reusable data products. Business & Data Requirements Elicit, document, validate, and prioritize data requirements, including business definitions, metric logic, granularity, refresh frequency, history, and access needs. Lead KPI and metric definition workshops so that metrics are defined once, agreed across functions, and certified for enterprise use. Map source-to-target data flows and business rules, and identify gaps between source system data and business needs. Translate ambiguous business questions into data product options with clear trade-offs for stakeholders. Plan and lead data validation and user acceptance testing, including reconciliation against source systems. Data Quality, Governance & Metadata Conduct data profiling and descriptive and diagnostic analysis of source and curated data to identify quality, coherency, and integrability issues and to reduce data redundan