Senior Data Platform Product Manager, AI & Analytics

ApTask

Malvern (Chester County)

On-site

USD 145,000 - 165,000

Full time

5 days ago
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Job summary

ApTask is 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.

You will own the end-to-end lifecycle, define the vision, and prioritize features based on customer needs and business goals.

Qualifications

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

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.

Skills

Product management
Data platforms
Cloud technologies
Agile methodologies
Leadership
Stakeholder management

Education

Bachelor's degree in CS/Eng/Business

Tools

AWS
Databricks
Snowflake
Confluent
Apache Flink

Job description

ApTask is 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.

You will own the end-to-end lifecycle, define the vision, and prioritize features based on customer needs and business goals.

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