IT Senior Data Product Owner

Atmus•Nashville, TN

3d•$101,220 - $112,467•Hybrid

About The Position

The IT Senior Data Product Owner is accountable for the value, quality, and adoption of an assigned portfolio of enterprise data products and serves as the bridge between business stakeholders and the Data & Analytics delivery team. The role partners with Sales, Marketing, Customer Service, Supply Chain, Finance, and IT to understand business decisions and translate needs into trusted, governed, reusable data assets. The position owns data product vision, roadmap, backlog, acceptance criteria, and data quality expectations, and ensures products are adopted to improve business outcomes. Products include curated data sets, semantic models, certified KPIs and metrics, dashboards, and data services built on Snowflake and Tableau and sourced from systems including Oracle EBS and Fusion, Salesforce, and ServiceNow. The role combines stakeholder facilitation, data user-story development, SQL-based source profiling, and dashboard validation. It supports commercial, customer experience, and AI roadmaps, including integration of data from newly acquired businesses.

Requirements

Bachelor’s degree in a relevant technical or business discipline.
At least 5 years of experience in data analysis, business analysis, or data and analytics roles.
Experience delivering enterprise data products, data warehouses, or analytics solutions used across multiple business functions.
Strong understanding of business processes and supporting data, including Lead-to-Cash/Order-to-Cash, Customer and Product Master Data, Sales and Customer Service Performance, Supply Chain and Inventory, and Financial Reporting.
Strong SQL skills for data profiling, analysis, and validation.
Hands-on experience with cloud data platforms and BI tools; Snowflake and Tableau are preferred, with Databricks and Power BI acceptable.
Experience with data modeling concepts, including dimensional models and semantic layers.
Experience with data quality, profiling, and statistical process control techniques.
Experience with data catalog, metadata, and lineage tools.
Experience with ERP and CRM data structures, including Oracle EBS/Fusion and Salesforce.
Experience with APIs and integration concepts.
Experience with Agile and product delivery methodologies.
Strong understanding of data governance and master data concepts.
Excellent relationship-building, communication, presentation, facilitation, analytical, and problem-solving skills.
Customer-focused mindset, strong business acumen, and experience working in matrix environments.
Demonstrated ability to work effectively in global, cross-cultural environments.

Nice To Haves

Advanced degree.
Experience in manufacturing, distribution, industrial, or consumer products industries.
Agile product certification such as CSPO or PSPO, or Snowflake, Tableau, or data governance certification such as CDMP.
Experience preparing data for AI/LLM use cases such as search, recommendations, or agents, or applying machine learning to data quality.
Familiarity with Tableau Pulse, Salesforce CRM Analytics, or MuleSoft.
Experience integrating data from acquired businesses or multi-region operations.
Domain experience in filtration, automotive, or heavy-duty aftermarket parts.

Responsibilities

Act as the trusted data partner for business stakeholders, Business Analysts, and Business Solutions Managers aligned to each function.
Build relationships with business leaders to understand their decisions, information needs, and success KPIs.
Align data product priorities with business objectives, enterprise data strategy, and functional application roadmaps.
Represent the rationale and scope of data development to the Data & Analytics delivery team and stakeholders.
Own the vision, roadmap, and release plan for assigned data products, including purpose, consumers, scope, and success measures.
Own and groom the data product backlog, balancing business value, effort, data readiness, and dependencies.
Break roadmap initiatives into Epics, Features, and User Stories with clear acceptance criteria, data quality thresholds, and definitions of done.
Track and report adoption, usage, value delivered, and quality metrics to senior leadership.
Identify opportunities to consolidate redundant reports and data sets into certified, reusable data products.
Elicit, document, validate, and prioritize requirements covering business definitions, metric logic, granularity, refresh frequency, history, and access.
Lead KPI and metric definition workshops and support agreement and certification of enterprise metrics.
Map source-to-target data flows and business rules, identify gaps between source data and business needs, and translate ambiguous questions into data product options and trade-offs.
Plan and lead data validation and user acceptance testing, including reconciliation against source systems.
Profile and analyze source and curated data to identify data quality, coherency, and integrability issues and reduce redundancy.
Define data quality rules, cleansing methods, thresholds, and service levels with data owners and stewards, and apply statistical process controls to monitor quality.
Own data catalog entries for assigned products, including glossary terms, definitions, lineage, ownership, classification, and usage guidance, and ensure metadata quality.
Work with data owners, stewards, and IT Governance to incorporate data quality findings into governance processes, controls, and remediation plans.
Ensure data products meet security, privacy, access-control, and regulatory requirements.
Help improve customer, product, and other master data quality and governance processes with the business.
Partner with data engineers, architects, and integration teams to design and deliver data pipelines, data models, and semantic layers in Snowflake.
Write and run SQL to profile, explore, and validate data, scope work, create precise tickets, and assess estimates.
Build, configure, or validate Tableau dashboards and metrics, including Tableau Pulse, for assigned products.
Understand source structures and integration patterns across Oracle EBS and Fusion, Salesforce, ServiceNow, and MuleSoft to diagnose data issues at source.
Evaluate and apply machine learning and AI-assisted tools to improve data quality, metadata, and data discovery.
Ensure data products are documented, governed, trustworthy, and AI-ready in accordance with company AI governance standards.
Participate in or lead medium-to-large data and analytics initiatives supporting business functions.
Assist with project planning, prioritization, risk management, and stakeholder communication.
Support change management, training, and adoption of data products, including retirement of legacy reports.
Promote standardized processes, governance, and documentation practices.
Coordinate handoffs among business stakeholders, Business Solutions teams, Data & Analytics, integration, and ERP teams, and manage critical data dependencies such as source readiness and acquisition integration.
Maintain documentation of decisions, business rules, controls, and processes, and create training materials.
Coach, mentor, and review less experienced team members and guide problem resolution.
Build cross-functional relationships, present to professional and executive audiences, negotiate and influence stakeholders, and operate effectively in matrixed and global, cross-cultural environments.