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Data Product Manager

Hybrid in Charlotte, NC, US • Posted 1 day ago • Updated 1 day ago

Full Time

No Travel Required

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Data Engineering
Data Integration
Product Management
Machine Learning (ML)
Generative Artificial Intelligence (AI)

Summary

Job Role: Data Product Manager

Location: Charlotte, NC or Malvern, PA- 3 days/week

Year of Experience: 10+ years

Type: Fulltime

Job Summary

We are seeking an experienced Product Manager to lead the strategy, development, and lifecycle management of enterprise data platforms supporting analytics, AI/ML, and Generative AI initiatives. You will partner with engineering, architecture, and business teams to build scalable, self-service data products and drive adoption across the organization.

Key Responsibilities

Own the end-to-end product lifecycle, from strategy and roadmap to launch and continuous improvement.
Define product vision and prioritize features based on customer needs and business goals.
Collaborate with data engineering and architecture teams to deliver scalable data platform capabilities.
Drive product adoption through go-to-market planning, user enablement, and stakeholder engagement.
Track product performance using KPIs, OKRs, and customer feedback to optimize value.
Mentor junior product managers and promote a product-driven culture.

Requirements

Required Skills & Qualifications

Bachelor’s degree in computer science, Engineering, Business, or a related field.
10+ years of product management or related experience.
Proven experience managing the full product lifecycle.
Strong understanding of data platforms, cloud technologies, and Agile methodologies.
Excellent stakeholder management, communication, and leadership skills.
Experience with product roadmaps, backlog management, and product metrics.

Preferred Skills

Master''s degree preferred.
Experience leading cross-functional enterprise initiatives.
Knowledge of AWS, Databricks, Snowflake, Confluent, and Apache Flink.
Understanding of data architecture, data integration, governance, metadata, and security.
Experience supporting analytics, AI/ML, and Generative AI platforms.
Financial services or large enterprise experience is a plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91133531
Position Id: 9052352
Posted 1 day ago

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Prince Kumar Ravi

Recruiter @ The Hіrеxрrеѕѕ

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