Is the Data Product Manager role on-site?

Yes — this role is on-site at the client's Malvern, PA location, five days per week. The client's culture and delivery cadence are calibrated around in-person collaboration for this position. Relocation support may be available for the right candidate; the recruiter will confirm during your calibration call.

Is this a permanent role?

Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.

What is the compensation range for this role?

The advertised range for this Data Product Manager role is $145,000–$165,000 per year. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.

How quickly does the interview process move?

If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.

Onsitefull timeReq 26-02630Posted Today

Data Product Manager

Direct Placement role in Malvern, PA. Onsite engagement, matched and submitted by an ApTask vertical recruiter.

Location: Malvern, PA · Onsite
Compensation: $145k–$165k/yr

Talk to a recruiter

Your résumé routes to the vertical recruiter who owns this requisition. Identity-verified profile, never resold or syndicated.

About the role

Title: Data Product Manager

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.

About operations at ApTask

What this vertical looks like inside ApTask.

Operations roles at ApTask cover program management, PMO, business analysis, transformation, and change-management positions across enterprise clients. We place operators who translate strategy into delivery — PMPs, Scrum Masters, agile coaches, Six Sigma black belts, and change-management practitioners certified in Prosci or the client's preferred framework. Candidates are validated against the specific enterprise tooling the client runs (ServiceNow, Jira Portfolio, Clarity, Planview) and their prior track record in comparable-scale programs, not generic delivery experience.

How it works

What happens after you apply.

1. Verified profile
Submit your résumé and complete the ApTask identity + skills verification. We check right-to-work, background, and technical calibration once — never resell or re-verify — so future roles surface faster.
2. Recruiter calibration call
Within one business day, the recruiter who owns this requisition reviews your profile against the client's specific stack, arrangement, and start-date requirements. You'll hear back either way — no ghosting.
3. Client interview
If your profile is a fit, we present you to the hiring team. Most clients run 2-3 interview stages: hiring-manager screen, technical panel, and final. We prep you with the exact scorecard criteria before each round.
4. Offer + onboarding
On acceptance, you onboard W-2 with ApTask (contract) or direct-hire with the client (per role type). Benefits, payroll, and timesheets run through us. Your recruiter stays your point of contact for the length of the engagement.

Frequently asked

Questions candidates ask about this role.

Is the Data Product Manager role on-site?: Yes — this role is on-site at the client's Malvern, PA location, five days per week. The client's culture and delivery cadence are calibrated around in-person collaboration for this position. Relocation support may be available for the right candidate; the recruiter will confirm during your calibration call.
Is this a permanent role?: Yes — this is a full time direct-hire position with the client. On offer acceptance, you onboard directly onto the client's payroll and benefits. ApTask's role is placement only; the recruiter stays in touch for the first 90 days as a check-in, but your day-to-day relationship is with the client's hiring manager.
What is the compensation range for this role?: The advertised range for this Data Product Manager role is $145,000–$165,000 per year. Where you land within the band depends on validated experience, the specific stack calibration match, and — for contract engagements — the bill-rate the client has locked in for this requisition. The recruiter will discuss the exact number during your calibration call.
How quickly does the interview process move?: If your profile is a fit for this role, you can expect the recruiter's first call within one business day. From there, interview cadence depends on the client's hiring-manager and panel availability. Total time from submission to signed offer varies by client — pre-verified profiles and calibrated submissions cut the noise, but the pace of interviews is driven by the client, not us.

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