{"id":3361241,"url":"https://alion.io/job/atmus-it-senior-data-product-owner","title":"IT Senior Data Product Owner","company":{"id":1803500,"name":"Atmus","domain":"atmus.com","url":"https://alion.io/company/atmus","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":86,"open_postings":9,"ghost_share":0,"stale_share":0.556,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Nashville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":101219,"max":112466,"currency":"USD","period":"year","gross":null,"usd_annual":112466},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Machine Learning","optional":false},{"name":"MuleSoft","optional":false},{"name":"Oracle ERP","optional":false},{"name":"Power BI","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Statistical Process Control","optional":false},{"name":"Tableau","optional":false},{"name":"Apex","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-27T15:58:16Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-02T13:58:57Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"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.\nWe are looking for a talented IT Senior Data Product Owner to join our team.\nLocation: Nashville TN - Onsite with Flexibility (3 days in office, 2 remote)\nTravel: Less than 10%\nThe 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.\nThe 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.\nThis 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.\n Strategy & Business Partnership\nAct as the trusted data partner for business stakeholders and for the Business Analysts and Business Solutions Managers aligned to each function.\nBuild strong relationships with business leaders to understand the decisions they make, the questions they need answered, and the KPIs that measure success.\nAlign data product priorities with business objectives, the enterprise data strategy, and the application roadmaps of each Business Solutions domain.\nServe as the single voice of “what data we’re building and why” for the Data & Analytics delivery team and stakeholders.\nData Product Ownership & Roadmap\nOwn the vision, roadmap, and release plan for assigned data products, and define each product’s purpose, consumers, scope, and success measures.\nOwn and groom the data product backlog, balancing business value, effort, data readiness, and dependencies through a transparent prioritization framework.\nDecompose roadmap initiatives into Epics, Features, and User Stories, each with clear acceptance criteria, data quality thresholds, and a shared definition of done.\nTrack and report data product adoption, usage, value delivered, and quality metrics to senior leadership.\nIdentify opportunities to consolidate redundant reports and data sets into certified, reusable data products.\nBusiness & Data Requirements\nElicit, document, validate, and prioritize data requirements, including business definitions, metric logic, granularity, refresh frequency, history, and access needs.\nLead KPI and metric definition workshops so that metrics are defined once, agreed across functions, and certified for enterprise use.\nMap source-to-target data flows and business rules, and identify gaps between source system data and business needs.\nTranslate ambiguous business questions into data product options with clear trade-offs for stakeholders.\nPlan and lead data validation and user acceptance testing, including reconciliation against source systems.\nData Quality, Governance & Metadata\nConduct data profiling and descriptive and diagnostic analysis of source and curated data to identify quality, coherency, and integrability issues and to reduce data redundancy.\nDefine data quality rules, cleansing methods, thresholds, and service levels with data owners and stewards. Apply statistical process controls to monitor data quality over time.\nOwn data catalog entries for assigned products, including business glossary terms, definitions, lineage, ownership, classification, and usage guidance. Ensure metadata quality.\nPartner with data owners, stewards, and IT Governance to embed data quality findings into governance processes, controls, and remediation plans.\nEnsure data products meet security, privacy, access control, and regulatory requirements.\nHelp define and improve customer, product, and other master data quality and governance processes in partnership with the business.\nData Platform & Technology\nPartner with data engineers, architects, and integration teams on the design and delivery of data pipelines, data models, and semantic layers in Snowflake.\nWrite and run SQL to profile, explore, and validate data, with enough depth to scope work, write precise tickets, and challenge estimates.\nBuild, configure, or validate Tableau dashboards and metrics (including Tableau Pulse) for assigned products.\nUnderstand source system data structures and integration patterns across Oracle EBS and Fusion, Salesforce, ServiceNow, and MuleSoft well enough to diagnose data issues at the source.\nEvaluate and apply machine learning and AI-assisted tools to improve data quality, metadata, and data discovery.\nEnsure data products are AI-ready (well-defined, documented, governed, and trustworthy) to support AI and advanced analytics use cases in line with company AI governance standards.\nProject & Change Management\nParticipate in or lead medium-to-large data and analytics initiatives supporting business functions.\nAssist with project planning, prioritization, risk management, and stakeholder communication.\nSupport organizational change management, training, and user adoption of data products, including retiring legacy reports.\nPromote standardized processes, governance, and documentation practices.\nCoordinate handoffs across business stakeholders, Business Solutions teams, Data & Analytics, integration, and ERP teams, and actively manage critical data dependencies, such as source system readiness and acquisition data integration.\nMaintain documentation of key decisions, business rules, controls, and processes, and create training material.\nCoach, mentor, and review the work of less experienced team members, and provide guidance on problem resolution.\nLeadership & Soft Skills\nPassion for turning data into better business decisions and outcomes.\nMust be excellent at building relationships cross-functionally.\nExcellent interpersonal skills, with a track record of presenting to professional and executive-level audiences in writing and in presentations. Able to present, negotiate, and influence business stakeholders.\nExcellent analytical, problem-solving, and facilitation skills.\nCustomer-focused mindset with strong business acumen.\nExperience working in matrix environments.\nDemonstrated ability to operate effectively in global, cross-cultural environments.\n Bachelor’s degree in a relevant technical or business discipline required; advanced degree preferred.\n5+ years of experience in data analysis, business analysis, or data and analytics roles.\nExperience delivering enterprise data products, data warehouses, or analytics solutions consumed across multiple business functions.\nStrong understanding of business processes and the data behind them, including:Lead-to-Cash / Order-to-Cash\nCustomer and Product Master Data\nSales and Customer Service Performance\nSupply Chain and Inventory\nFinancial Reporting\n\nExperience in manufacturing, distribution, industrial, or consumer products industries preferred.\nTechnical Skills\nStrong SQL skills for data profiling, analysis, and validation.\nHands-on experience with cloud data platforms (Snowflake preferred, Databricks acceptable) and BI tools (Tableau preferred; Power BI acceptable).\nExperience with:Data modeling concepts (dimensional models, semantic layers)\nData quality, profiling, and statistical process control techniques\nData catalog, metadata, and lineage tools\nERP and CRM data structures (Oracle EBS/Fusion, Salesforce)\nAPIs and integration concepts\nAgile and product delivery methodologies\n\nStrong understanding of data governance and master data concepts.\nNice to Have:\nAgile product certifications (CSPO/PSPO) or Snowflake, Tableau, or data governance (e.g., CDMP) certifications.\nExperience preparing data for AI/LLM use cases (search, recommendations, agents) or applying ML to data quality.\nFamiliarity with Tableau Pulse, Salesforce CRM Analytics, or MuleSoft.\nExperience integrating data from acquired businesses or multi-region operations.\nDomain experience in filtration, automotive, or heavy-duty aftermarket parts.\nBase salary range: $101,219.86 to $ 112,466.51/ year\nPlease note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate’s qualifications and experience, where appropriate.\nCompensation and Benefits\nBase salary rate commensurate with experience. Additional benefits vary between locations and include options such as our 401(k) Retirement Savings Plan, Medical/Dental/Life Insurance, Health Savings Account, other personal and professional benefits.\nAtmus and E-verify\nAt Atmus, we are proud to be an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.\nAtmus will validate the right to work using E-Verify. 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