Data Product Manager

ApTask; Malvern (Chester County); On-site; USD 145,000 - 165,000; Full time

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

About Client

The client is a global business advisory and technology consulting firm specializing in digital transformation and technology solutions across industries such as insurance, banking & financial services, healthcare, and life sciences. It helps organizations modernize operations through strategic consulting, digital engineering, cloud solutions, data & AI capabilities, automation, and enterprise platform implementations. The company partners with clients to improve customer experiences, optimize processes, reduce operational complexity, and deliver scalable technology solutions.

Salary Range

$145K-$165K/Annum

Job Description

• 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.

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.

fostering a diverse and inclusive work environment.