Straight from the company’s own careers site.
The job in short
Product ownership.
SQLSnowflakeExcelData scienceProduct management
Details
- Found
- 7 d ago · posted 2026-10-23
- Location
- Springfield, MO, US
Full description
Lead the end-to-end roadmap and delivery of data products, aligning engineering, analytics, data science, and AI initiatives with enterprise business outcomes. Drive product strategy, backlog management, and cross-functional collaboration to transform data into actionable insights and production-ready solutions. Serve as the primary liaison between business partners and technical teams, ensuring clarity, alignment, and measurable impact.
Key Responsibilities:
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Own end-to-end roadmap and delivery of data products across engineering, analytics, data science, AI aligned to enterprise outcomes.
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Translate business strategy into product roadmap, balancing near-term and long-term investments.
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Own backlog grooming, sprint planning, prioritization, release planning for data product initiatives.
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Lead enterprise change strategies, adoption planning, stakeholder engagement, and workshops.
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Define and govern performance measures, success metrics, and OKRs to align team output with business outcomes.
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Drive continuous improvement, track product outcomes, and lead lessons-learned.
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Manage delivery accountability, risk mitigation, and cross-functional alignment.
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Ensure data products move beyond POCs into production solutions (dashboards, APIs, ML).
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Oversee quality assurance and acceptance activities.
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Follow up with Senthil: https://salesq.app/app/team/67f57629dacf7c05a21f89ac/meetings/695fb2dc6232f574389c168b/history
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Qual call with Charles: https://salesq.app/app/team/67f57629dacf7c05a21f89ac/meetings/696038ca6232f57438bdbd04/history
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Call with Lalitha: https://app.corecruit.com/app/team/67f57629dacf7c05a21f89ac/meetings/6ad68e5f97359031a8c0eece/history
Qualifications:
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7+ combined years as Product Manager/Owner supporting data engineering or analytics teams.
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Additional experience in project management, business analysis, or data-focused roles within large-scale environments.
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Strong domain experience in Master Data Management (MDM) for customer, product/item, location, and transactional datasets.
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Proven ability to operate in ambiguous environments, framing problems and driving clarity.
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Experience building and managing multi-year product roadmaps.
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Strong business analysis skills, including requirements elicitation, stakeholder management, and workshop facilitation.
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Experience with BI and reporting tools.
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Proficiency with SQL for data exploration and validation.
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Understanding of ETL/ELT processes.
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Experience with hybrid cloud environments (any major public cloud).
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Background in retail or similarly data-intensive industries (preferred).
Preferred Skills:
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Experience with modern data platforms such as Snowflake or Informatica.
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Familiarity with Excel for data analysis and business reporting.
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Exposure to data science concepts and advanced analytics use cases.
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Experience helping organizations mature product management practices (e.g., backlog governance, standardized artifacts).
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Experience working across both highly technical teams and business stakeholders.
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