Published: October 9, 2024 - The Data Product Manager identifies and prioritizes use cases across the enterprise, articulates strategic opportunities, and evangelizes cross-organizational engagement processes. This position entails building relationships and managing processes with partners, providing leadership on cross-functional implementations, and communicating program statuses to stakeholders and executives. Additionally, the role focuses on developing business cases with quantifiable KPIs, ensuring compliance with legal and regulatory standards, staying updated on data trends, and actively participating in product design using no-code/low-code solutions while addressing technical issues in the data domain.
Tips for Data Product Manager Skills and Responsibilities on a Resume
1. Data Product Manager, TechNova Solutions, Austin, TX
Job Summary:
- Provide customized “proof of value” and “fit for purpose” deliverables developed from a deep understanding of BI data and how it supports our value propositions
- Deliver the BI data story with a passion and enthusiasm that resonates across multiple use cases
- Support Sales & Client Success with basic analysis such as hit rate coverage, data depth, and standard score distribution statistics on client portfolios
- Research data supply issues/inconsistencies and delivery issues as they arise, and which potentially impact client value/trust
- Develop data delivery criteria to meet client requirements that can be productized
- Recommend product or delivery improvements based on direct client research
- Ability to connect data science logic/applications with business goals and objectives
- Create, upgrade and performance-tune Tableau dashboards
- Possess end-to-end data expertise including data sourcing, consolidation, integration, manipulation and visualization
- Work side-by-side with business stakeholders (internal and external), Sales & Client Success, software engineers, and UI/UX to design product features and minimum viable products concerning visualizing and programmatically delivering data
Skills on Resume:
- Data Visualization (Hard Skills)
- Business Intelligence (Hard Skills)
- Statistical Analysis (Hard Skills)
- Data Quality Management (Hard Skills)
- Client Communication (Soft Skills)
- Data Integration (Hard Skills)
- Collaboration (Soft Skills)
- Performance Tuning (Hard Skills)
2. Data Product Manager, Quantified Insights, Raleigh, NC
Job Summary:
- Working on project prioritization, project management and delivery communication.
- Managing the workload and day-to-day data scrum team
- Working on roadmap planning, targets and scrum team objectives.
- Communicating roadmap and objectives clearly to stakeholders.
- Guiding stakeholders on their information needs for their respective processes and operations while working on new projects to facilitate the requirement-gathering process.
- Facilitating the overall data architecture including the investigation of different data assets across multiple functions of the organization in order to allow the data team to gather knowledge in the company’s data assets, platforms and processes.
- Working with power users of the data team to advise on best practices for their day-to-day needs.
- Owning ongoing projects like data integration, data visualization, AI, data integrations.
- Being involved in new data flows and be the point of contact for data integrity issues with respective data asset owners.
- Engaging with stakeholders at different business units.
- Managing projects related to assigned business areas.
- Assisting data teams in day-to-day operations and participating in scrum ceremonies.
Skills on Resume:
- Project Management (Hard Skills)
- Scrum and Agile Methodologies (Hard Skills)
- Stakeholder Communication (Soft Skills)
- Data Architecture Knowledge (Hard Skills)
- Analytical Skills (Hard Skills)
- Collaboration and Teamwork (Soft Skills)
- Problem-Solving (Soft Skills)
- Technical Proficiency (Hard Skills)
3. Data Product Manager, InfoEdge Analytics, Denver, CO
Job Summary:
- Support diverse data sourcing activities through integration with the Corporate Galileo Data Analytics Platform (GDAP)
- Ensure data required for Analytics is available and of good quality by analyzing data sources, comparing against standards, eliminating redundancies, identifying data issues and recommending corrective actions
- Work closely with the business teams and IT to ensure alignment of data definition
- Define and maintain business terms, definitions, and quality standards
- Build a roadmap for establishing/expanding reusable enterprise data assets
- Data profiling of files and databases
- Complete User Acceptance Testing for productized data assets
- Promote master data principles and data quality standards
- Coordinate with Enterprise Information Architecture to ensure alignment
- Support Data Science and Advanced Analytics projects/programs by providing solutions to data quality issues with strategic direction for core enterprise entities, definitions, relationships and design standards
- Coordinate with data governance to ensure solutions comply with all pertinent policies to ensure data is appropriately accessible, consistent, secure and of high quality
Skills on Resume:
- Data Integration (Hard Skills)
- Data Quality Analysis (Hard Skills)
- Data Definition Alignment (Soft Skills)
- Business Terms Management (Hard Skills)
- Roadmap Development (Hard Skills)
- Data Profiling (Hard Skills)
- User Acceptance Testing (Hard Skills)
- Data Governance Compliance (Soft Skills)
4. Data Product Manager, BlueStream Technologies, Tampa, FL
Job Summary:
- Direct interaction with the business to understand business problems and strategic direction
- Work with teams in Marketing, Market Development, and Commercial to propose data science solutions
- Act as a data science consultant, recommending solutions that support business goals and strategy
- Alignment with business partners on objectives, path to execution, and goals
- Collaborate with business partners set goals/targets and ongoing collaboration to achieve
- Regular engagement with business partners to manage data science initiatives and deliverables
- Educate others and promote data science capabilities across businesses
- Develop innovative solutions that enable both near and long-term success
- Own data science products (models) and enable global organizations to leverage
- Achieve quantitative goals by setting and executing tactical plans
- Ensure that data science efforts add value for business partners and end customers
Skills on Resume:
- Business Interaction (Soft Skills)
- Data Science Solutions (Hard Skills)
- Data Science Consulting (Soft Skills)
- Objective Alignment (Soft Skills)
- Goal Setting (Soft Skills)
- Initiative Management (Hard Skills)
- Data Science Education (Soft Skills)
- Innovative Development (Hard Skills)
5. Data Product Manager, DataDrive Solutions, Columbus, OH
Job Summary:
- Create and Clarify Product Requirements from Stakeholders.
- Understand overall company goals and roadmap and suggest product ideas or features in line with company goals.
- Prioritize Created Items on the Development Backlog.
- Work with Developers in understanding requirements as well as ensuring deliverables meets requirements and quality assurance standards.
- Work with the development team leads to clarify item scope, estimate effort, and prioritize in line with overall resources and company expectations.
- Gather requirements from other teams of items, systems, or reports that would be beneficial.
- Be proactive in converting requirements into projects, systems, or regular reports (in line with reporting processes).
- Have an understanding of data, data systems, analysis, and limitations/benefits of reporting and data analysis.
- Organize projects, and features into unified systems to prevent redundancy or underuse.
- Add to the overall documentation of the system, features, and processes.
- Document and summarize complicated technical features in a clear and accessible way.
Skills on Resume:
- Product Requirements Creation (Hard Skills)
- Company Goals Alignment (Soft Skills)
- Development Backlog Prioritization (Hard Skills)
- Requirement Clarification (Soft Skills)
- Requirement Gathering (Hard Skills)
- Project Conversion (Hard Skills)
- Data Analysis Understanding (Hard Skills)
- Documentation Management (Soft Skills)
6. Data Product Manager, InnovateX Systems, Portland, OR
Job Summary:
- Dive deep into the large-scale data to identify key insights that will inform product improvements and business strategy.
- Partner with other Apple organizations on data gathering, data governance, redefining data with reporting tools and evangelizing critical metrics.
- Conducting regular and ad-hoc analyses, data mining and predictive analytics to provide leadership with measurable insights at tactical and strategic levels related to product and service usage and experience.
- Design and develop highly polished and functional Tableau dashboards to support pathing analytics and product/feature usage, and work with data engineering teams on designs for higher level self service tools.
- Quickly outline and build customized analyses for leadership
- Lead the creation of products that deliver business impact to startup founders
- Identify and solve the most impactful problems as it pertains to startup founders and the data their companies generate
- Marshal the resources of our team to identify and solve startup founders’ problems
- Learn how startup founders talk about the value that our products provide and align communications with these points of view
- Establish a roadmap for data product initiatives and gain internal buy-in
Skills on Resume:
- Data Insights Identification (Hard Skills)
- Data Governance Collaboration (Soft Skills)
- Analytical Skills (Hard Skills)
- Tableau Dashboard Development (Hard Skills)
- Customized Analysis Creation (Hard Skills)
- Problem Solving (Soft Skills)
- Resource Coordination (Soft Skills)
- Roadmap Establishment (Hard Skills)
7. Data Product Manager, NextGen DataWorks, Salt Lake City, UT
Job Summary:
- Work alongside the Data, Business, and Product function leaders to develop data product strategy.
- Own the data product roadmap, and represent data in overarching product roadmap planning.
- Manage the full life-cycle for new data features and products from requirements, through specifications, design and implementation, to final delivery.
- Work closely with the analytics team and key stakeholders to deliver new high-value data products and quality data tracking solutions for various applications built on our platform.
- Act as a focal point and key representative for Eko's data integrations with various business and technology partners across media, advertising and commerce.
- Communicate regular updates and new releases within the Data & Insights team as well as Company-wide.
- Engage with the business, engineering, and product management teams as a thought partner
- Lead all instrumentation/tagging efforts for commerce
- Ensure collaboration and alignment between stakeholders when a development project have cross-product dependencies, resolving any potential challenges with conflicting priorities
- Deliver feature projects in a way that enables Piano clients to best meet business needs in a frictionless and delightful manner with a product with exceptional product design
Skills on Resume:
- Data Product Strategy Development (Hard Skills)
- Roadmap Management (Hard Skills)
- Life-Cycle Management (Hard Skills)
- Collaboration with Analytics Team (Soft Skills)
- Data Integration Representation (Soft Skills)
- Communication Skills (Soft Skills)
- Stakeholder Engagement (Soft Skills)
- Project Delivery (Hard Skills)
8. Data Product Manager, Alpha Metrics, Omaha, NE
Job Summary:
- Identification of new projects
- Identify new features or improvement needs for data-informed by our Product strategy, client requests, cross-domain dependencies, technical improvements and market research
- Distill identified needs into a domain-specific feature roadmap in support of the broader Piano product strategy - present to senior product leadership for prioritization
- Define and measure success criteria of roadmap items being developed and released
- Own feature specification and planning
- Write comprehensive feature specifications including what problem the feature or product solves, user stories, and development requirements
- Present to product leadership incorporating feedback and constructive criticism along the way
- Determining how new features should be leveraged and/or replace existing functionality to meet business needs
- Own realization of feature projects
- Own feature projects end-to-end, providing transparency and timely reporting on delivery timelines to senior leadership
- Work closely with the engineering team leads to guide requirement documents and in the realization of projects, from conception to launch
Skills on Resume:
- Project Identification (Hard Skills)
- Feature Improvement Analysis (Hard Skills)
- Roadmap Development (Hard Skills)
- Success Criteria Definition (Hard Skills)
- Feature Specification Writing (Hard Skills)
- Presentation Skills (Soft Skills)
- Functionality Evaluation (Hard Skills)
- End-to-End Project Management (Hard Skills)
9. Data Product Manager, Sigma Data Solutions, Boise, ID
Job Summary:
- Identify and prioritize potential use cases with partner organizations across the Enterprise
- Identifying, articulating and evangelizing strategic opportunities as well as defining detailed processes for engagement with cross-organization teams.
- Building relationships, developing and managing processes with partners in our Enterprise Data Environment organization
- Providing leadership on cross-functional enterprise implementations
- Communicating status of the Program and initiatives to impacted stakeholders and executive leadership
- Developing quantitative business cases and defining results-driven KPIs
- Insuring capability compliance with all applicable legal and regulatory guidelines and policies.
- Staying informed of fraud, authentication and data trends across the enterprise
- Take an active role in designing and building the product by using no-code/low-code products
- Take the initiative to investigate technical issues within the data domain and suggest recommendations.
Skills on Resume:
- Use Case Identification (Hard Skills)
- Strategic Opportunity Articulation (Soft Skills)
- Relationship Building (Soft Skills)
- Cross-Functional Leadership (Soft Skills)
- Status Communication (Soft Skills)
- Business Case Development (Hard Skills)
- Compliance Management (Hard Skills)
- Technical Issue Investigation (Hard Skills)
10. Data Product Manager, ClearView Technologies, Charlotte, NC
Job Summary:
- Build products that drive effective user experience with emphasis on website optimization, personalization & ranking, AB testing, and more.
- Prioritize product development efforts based on a clear strategic rationale
- Manage the feature requests backlog and development sprints
- Develop written product requirements and product/project milestones
- Generate written user guides and release notes.
- Work closely with data engineers and data scientists, biz dev, business operations, marketing, analysts and product managers to define and manage existing product needs.
- Define, analyze, and track key product metrics and take action to improve performance.
- Provide project leadership and communicate projects and their major milestones to management & business stakeholders across the company.
- Drive internal metrics for measuring speed-to-market, quality of development, and ROI
- Move fluidly and comfortably with evolving priorities and technology
Skills on Resume:
- User Experience Optimization (Hard Skills)
- Product Development Prioritization (Hard Skills)
- Backlog Management (Hard Skills)
- Product Requirements Development (Hard Skills)
- User Documentation Creation (Hard Skills)
- Cross-Functional Collaboration (Soft Skills)
- Product Metrics Analysis (Hard Skills)
- Project Leadership (Soft Skills)
11. Data Product Manager, PeakPoint Analytics, Boulder, CO
Job Summary:
- Partner with the rest of the Global Data and Analytics teams, Client teams, and infrastructure teams to understand their needs and drive the roadmap
- Work with the Product Owner(s) to drive vision and strategy for the data and analytics tools and systems
- Deliver detailed technical requirements and user stories for data engineering products
- Help drive business goals by iterative improvements grounded in data and communicate it to the larger audience through monthly milestones
- Build empathy between engineering teams and internal business teams through clear expectations and shared understanding
- Deliver outstanding customer experiences through design, quality, performance, and reliability
- Lead the full behavioral data project lifecycle from ideas, through business requirements, and development, to delivery to users and post-delivery maintenance
- Translation of stakeholder product questions/high-level deliverables into detailed events for engineering to develop
- Build data delivery processes that craft a controlled delivery environment
- Create and handle roadmaps for the delivery of behavioral data across many of our products
Skills on Resume:
- Collaboration (Soft Skills)
- Strategy Development (Hard Skills)
- Technical Requirements (Hard Skills)
- Communication (Soft Skills)
- Empathy Building (Soft Skills)
- Customer Experience (Hard Skills)
- Project Leadership (Hard Skills)
- Data Delivery Management (Hard Skills)
12. Data Product Manager, InsightOps Solutions, Nashville, TN
Job Summary:
- Inspire a talented group of engineers by simplifying problems and writing clear, detailed requirements in a language that they understand
- Work closely with other Product Managers in the Digital group to deliver a world-class data development experience that enables a world-class fan experience
- Translate the team's experience and knowledge of the business to use cases, business requirements, acceptance criteria, and prioritized work
- Partner with Data Engineering Partner to enforce Agile fundamentals and to foster a DevOps culture of efficiency, transparency, and impact
- Execute user acceptance testing (UAT) for products to ensure that business expectations are met
- Drive consensus as a subject-matter expert and reliable contributor for multiple stakeholders
- Serve as an internal product evangelist for the NBA's data products
- Monitor day-to-day progress of software development, data ingestion, and dependent processes
- Understand ecosystems, business-user behaviors, consumer behaviors, and long-term trends in the adoption of our products to identify opportunities for step-changes and angle changes in growth.
- Keep track of competitive and comparable capabilities to inform the product growth strategy and design
Skills on Resume:
- Problem Simplification (Soft Skills)
- Data Development Experience (Hard Skills)
- Business Requirement Translation (Hard Skills)
- Agile Fundamentals Enforcement (Soft Skills)
- User Acceptance Testing (Hard Skills)
- Stakeholder Consensus Building (Soft Skills)
- Product Evangelism (Soft Skills)
- Market Monitoring (Hard Skills)
13. Data Product Manager, FusionData Services, Des Moines, IA
Job Summary:
- Assist with GA/Amplitude reporting and data queries/escalations
- Help with promoting the value the data brings
- Work on multiple projects and use strong time management skills and prioritise workload accordingly
- Define and execute the product roadmap for the data products.
- Collect and identify market needs from internal partners
- Work closely with the engineer team and algorithm team to interpret the customer/market need into product requirement
- Set goals and guide prioritization to make sure that key initiatives are focused
- Develop and prepare demos or prototypes for product applications and features
- Deep dive into product planning, understand the competitive position and deliver products that are recognized best in the market.
- Being attentive to new data mining methodologies and technologies to enable sustainable development
Skills on Resume:
- GA/Amplitude Reporting (Hard Skills)
- Data Value Promotion (Soft Skills)
- Time Management (Soft Skills)
- Product Roadmap Execution (Hard Skills)
- Market Needs Identification (Hard Skills)
- Requirement Interpretation (Hard Skills)
- Goal Setting (Soft Skills)
- Product Planning (Hard Skills)