Data & Analytics Product Owner
TK Elevator Corporation — Atlanta, Georgia, United States
What we expect
The first 3 letters in workplace safety are Y-O-U!
TK Elevator is currently seeking an experienced Data & Analytics Product Owner located in Atlanta, GA to drive the development of enterprise-scale data solutions that empower business stakeholders with actionable insights. This role is critical in enabling a connected data ecosystem by aligning business strategy with data engineering, analytics, and AI/ML initiatives.
As a strategic partner to business and data engineering teams, you will define and prioritize data products, oversee the development of enterprise data warehouses (EDW), and identify AI/ML use cases that deliver measurable business value. You will also play a key role in building business cases for data investments, ensuring alignment with corporate objectives. A strong understanding of the Salesforce data model and its integration with enterprise systems is highly preferred.
ESSENTIAL JOB FUCTIONS:
- Data Enablement & Strategy Development: Partner with business leaders to identify high-impact data opportunities, driving the development of scalable data products.
- Enterprise Data Warehouse & Connected Ecosystem Development: Work closely with data engineering teams to build and enhance a unified, cross-functional data platform that integrates ERP, CRM (Salesforce), finance, and operations data.
- Business Case Development: Build data-driven business cases for new initiatives, quantifying ROI and strategic benefits to secure stakeholder buy-in and funding.
- AI/ML Use Case Identification: Collaborate with business teams to identify AI/ML opportunities, ensuring that data products support predictive analytics and automation.
- Product Ownership for Data Engineering: Define and manage the roadmap for enterprise data infrastructure, including data pipelines, metadata management, and data quality improvements.
- Salesforce Data Model Understanding: Work with CRM, sales, and operations teams to leverage Salesforce data for analytics, forecasting, and business insights, ensuring seamless integration with the enterprise data warehouse.
- Agile Delivery & Backlog Management: Own the product backlog, ensuring clear prioritization of ETL pipelines, reporting enhancements, and data governance initiatives.
- Wireframing & Prototyping: Develop wireframes, data flow diagrams, and conceptual models to guide data architecture and solution design.
- Stakeholder Engagement: Act as the bridge between business and engineering, refining use cases and ensuring timely product delivery.
- Data Governance & Compliance: Ensure adherence to data governance, MDM best practices, and security standards, promoting data democratization and integrity.
- Analytics & AI Enablement: Support AI/ML initiatives by ensuring high-quality data availability and integrating insights into business workflows.
Who we are looking for
EDUCATION & EXPERIENCE:
- Bachelor's degree in Computer Science, Information Science, or a 4-year degree in a related field with a focus in Information Technology
- Proven experience as a Product Owner working closely with Data Engineering teams to build enterprise-scale data solutions.
- Strong business analysis and strategy skills, including building business cases for data and AI/ML investments.
- Understanding of Salesforce data model and experience working with Salesforce data in enterprise analytics is preferred. .
- Hands-on experience with Azure DevOps, Power BI, and SQL for data-driven solutioning.
- Expertise in Enterprise Data Warehousing (EDW), data lake architectures, and ETL/ELT pipeline development.
- Strong understanding of AI/ML use cases and their integration into business processes.
- Excellent stakeholder management skills, with the ability to translate business needs into technical solutions.
- Experience working in an Agile/Scrum environment, supporting sprint planning, backlog grooming, and iterative product delivery.
- Experience in building a connected data ecosystem, integrating ERP, CRM (Salesforce), financial, and operational data sources., preferred
- Knowledge of AI/ML-driven decision-making and automation use cases, preferred
- Background in sales, financial, and field operations analytics, preferred
- Track record of delivering scalable data products that drive business transformation, preferred
Additional information
TK Elevator is an equal opportunity employer and committed to diversity. Qualified applicants will receive consideration for employment without regard to age, gender, race, color, religion, sexual orientation, gender identity, national origin, disability, and veteran status or any other protected status required by applicable law.
Applicants with disabilities who require reasonable accommodation in connection with the application process are encouraged to email us directly at ElevatorJobs.ams@tkelevator or call 1-844-427-5461.
Contact
To apply to a position, please click on the Apply Now button.
For any additional questions or job specific requests, please use the contact
below and include the Job Requisition Number as a reference.
Elevatorjobs.AMS@tkelevator.com
Job details
| Posting date: | 2025/04/25 |
|---|---|
| Experience level: | Experienced professionals |
| Type of contract: | Permanent, Full Time |
| Work mode: | On Site |
| Job field: | Information Technology |
| Industry: | Engineering & urban mobility |
| Job number: | US_901745_ET_TKELECP12137 |
Application deadline: as long as the job is listed on our career page, we are looking for suitable candidates (all genders welcome). We are looking forward to receiving your application.
