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Data product manager skills for your resume and career

Updated January 8, 2025

5 min read

Quoted experts

Davide , Ph.D. Bolchini Ph.D.,

Matthew Lopresti

Below we've compiled a list of the most critical data product manager skills. We ranked the top skills for data product managers based on the percentage of resumes they appeared on. For example, 14.1% of data product manager resumes contained product management as a skill. Continue reading to find out what skills a data product manager needs to be successful in the workplace.

15 data product manager skills for your resume and career

1. Product Management

Product management is a part of an organization's function that deals with product development, planning, pricing, forecasting, launching, and marketing the product.

Here's how data product managers use product management:

Assumed Product Management responsibilities after much of the Product Management team was downsized and reorganization.
Assist in managing all marketing and product management activities for Cox High Speed Internet in a 260,000 basic customer system.

2. BI

Here's how data product managers use bi:

Liaised with BI team, demonstrated Business knowledge depth in Operations and Finance projects.

3. QA

QA, or Quality Assurance is a procedure that entails all of the steps taken to avoid any errors in the manufacturing process or in the production of the goods that a company produces. It can also include ensuring the consistency of the services rendered. Quality assurance ensures that the quality of the service delivered to consumers meets or exceeds the promised expectations. This greatly aids in the prevention of any complications that might arise after the goods or services have been distributed. It makes sure that customers are satisfied.

Here's how data product managers use qa:

Work with development team to provide business schedules for QA SOAP testing.
Led weekly meetings between engineering, sales/marketing, and QA departments to facilitate communication, collaboration and resolution of product issues.

4. Regression

Here's how data product managers use regression:

Provide early forecasting regarding quarterly sales using regression analysis and exponential smoothing, and proprietary forecasting techniques.
Developed and implemented multiple linear regression models for pricing new and existing products.

5. Product Roadmap

Here's how data product managers use product roadmap:

Created product roadmaps and business strategies for software development and enhancements.
Manage product roadmap for multiple product lines.

6. Project Management

Here's how data product managers use project management:

Prioritize sprints items for development teams for reporting and ETL commissioning system in Rally project management tool.
Project Manager: Technical BMT & Project management, Making bidding price.

7. Data Analysis

Here's how data product managers use data analysis:

Lead and participate in the planning and data analysis of the Customer Introduction (EAC) Estimate at Completion Process.
Recovered 5 to 10% of lost monthly revenue trough data analysis and data reconciliation.

8. Visualization

Here's how data product managers use visualization:

Delivered significant process improvements in AROD tool by enabling data visualization & insights through Tableau reporting.
Coordinated wall moves and visualization.

9. Data Quality

Here's how data product managers use data quality:

Maintain master data quality in key systems for CRM and SAP.

10. User Stories

Here's how data product managers use user stories:

Oversee User Acceptance of all user stories for OBIEE business intelligence development and ETL commission engine.
Develop user stories and acceptance for commissioning ETL engine team and OBIEE reporting teams.

11. KPIs

Here's how data product managers use kpis:

Define KPIs for ecommerce platforms which drove improvements leading to annual revenue growth of 130% for Target apps.
Generated company-wide OKRs and KPIs.

12. Market Research

Market research is a collective effort to collect information related to a consumer's needs and wants. It is a systematic approach that involves recording and analysis of both qualitative and quantitative data. Market research helps a business to identify a target market correctly and identify the gaps in potential consumer's expectations.

Here's how data product managers use market research:

Defined market-driven product requirements incorporating feedback from internal and external customers, partners, field using iterative analysis and market research.
Identified new Big Data product opportunities evaluating value propositions against market research and competitive analysis driving creation of business plans.

13. User Experience

Here's how data product managers use user experience:

Created a user experience team to formulate a common visual styles, information architectures and interaction patterns across disparate solutions.
Led or drove multiple cross-business unit initiatives including cross-BU solutions development, user experience, product governance and product innovation.

14. Product Strategy

Here's how data product managers use product strategy:

Collaborated with senior commercial management to adjust product strategy to evolving conditions.
Define product strategy and roadmap for the Data Processing product and coordinate its release planning.

15. API

Here's how data product managers use api:

Handled design and specification of administration system requirements to efficiently manage, operate, and support client API configurations and sessions.
Developed Getting Started Guide for Connect API for developers interested in integrating their applications into Connect.

What skills help Data Product Managers find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What skills stand out on data product manager resumes?

Davide , Ph.D. Bolchini Ph.D.

Professor and Chair, Director, Human-Computer Interaction Program, Indiana University

In my experience, our most successful MS HCI graduates (https://soic.iupui.edu/hcc/graduate/hci/masters/) take the time to put together a compelling online portfolio that showcases their project experience and skill set in action, as applied to specific research opportunities they had with faculty or projects they worked on during their UX internships in the industry. The personal brand of UX junior professional can be greatly enriched when the portfolio includes not only what the student has done, but why and what was the design rationale behind the process and the results, what was the larger context and goal of the project (especially in large collaborative projects), and what was the specific role and contribution of the student. The discussion about the portfolio of a candidate has become a key ingredient of the interview for UX jobs, besides other important activities such as UX design exercises or remote assignments.

What data product manager skills would you recommend for someone trying to advance their career?

Matthew Lopresti

Associate professor of Philosophy and humanities, Hawaii Pacific University

Captains of industry are often asked about the traits they look for in new hires. Critical thinking is always a must, as well as excellent written and oral communication skills.

These are the core competencies of the discipline of philosophy. Top-notch communication abilities begin with a depth of ability to understand nuanced, complex details, and then turn around and clearly communicate these complex ideas in easily digestible bits of information. It is no coincidence that students who graduate with philosophy degrees repeatedly dominate graduate and law-school entrance exams like the GRE and LSAT; they are often the sharpest thinkers with the quickest minds

What technical skills for a data product manager stand out to employers?

Patrick Lindsay

Assistant Lecturer, Miami University

Most all employers expect full competency in creatively using technology for communications. By that I don't mean mobile devices or social media usgae. I mean a widespread working knowledge of technology tools (apps, software, etc). Employers are seeking those candidates who can convey thoughts, ideas, responses in a multi-faceted way. Basic competency in written correspondence is no longer enough. Employers want to see daily business communication not only contain demonstration of good writing (grammar, syntax, formatting) but also being able to create embedded images, video, and relevant web links to better communicate. And not just for a big fancy client presentation, but consistently in regular communication. Further, they want words supported by data; support words with numerical evidence. As such, advanced excel skills and real experience in data sources and extraction stand out to employers.

Similarly, they expect professional virtual audio-visual communication. It is not enough to just be on the Zoom call. The expectation is to be prepared, to be engaged, to be aware of the audio and video angles and backgrounds. To demonstrate active listening as well as enthusiastic, energetic, even animated talking. Body language and facial expression are even more enhanced in virtual communications.

If there was a positive outcome from being thrust into an academic world that was all virtual, it was the need to learn new technical skills, not only for classwork, but also for social interaction. This will not only be appreciated by employers, but for many, expected.

What soft skills should all data product managers possess?

Dr. Richard Conde Ph.D.

Assistant Professor, University of Houston - Downtown

The need for soft skills are consistent through time. With our societal focus on social media, texting, emojis, etc. It appears to me companies are looking for the following:

- Active listening skills

- Willingness to be self-reflective and accept feedback

- Accept different perspectives. The collision of ideas creates knowledge

- Communicate to the listener (at their level). Flex communicators

- Cultural intelligence. Demographics changes will require better understanding of team member's, boss', customer's, etc. cultural context

Do you want to know more?

List of data product manager skills to add to your resume

The most important skills for a data product manager resume and required skills for a data product manager to have include:

Product Management
BI
QA
Regression
Product Roadmap
Project Management
Data Analysis
Visualization
Data Quality
User Stories
KPIs
Market Research
User Experience
Product Strategy
API

EPICS
Product Data
Product Lifecycle
Confluence
Data Lake
Client Facing
Business Cases
ETL
UI
Data Warehouse
Competitive Analysis
Scrum
Market Trends
ROI
Continuous Improvement

Salesforce
Strategic Direction
Prototyping
Analyze Data
Data Systems
Product Line
Java
GIS
Data Integrity
Master Data
Business Rules
Product Suite
User Interface
SME
Pricing Strategy

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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