Resume Skills and Keywords for Data Product Manager

A Data Product Manager drives the development of data-driven solutions by blending expertise in artificial intelligence, machine learning, and data analytics with strategic product thinking. They lead the end-to-end lifecycle of data products—from ideation and research to deployment and iteration—translating complex business needs into scalable, AI-powered solutions. Collaborating closely with cross-functional teams including data scientists, engineers, and domain experts, they ensure that AI models and data pipelines are robust, ethical, and aligned with product goals. By staying at the forefront of emerging technologies and best practices, Data Product Managers shape product strategy, guide technical innovation, and deliver impactful, data-centric features that solve real-world problems and drive business growth.

Skills required for a Data Product Manager role:

  • Data Querying
  • Data Warehousing & Pipelines
  • Data Visualisation Tools
  • Analytics & Experimentation
  • APIs & Data Integration
  • Roadmap Planning & Prioritisation
  • Agile/Scrum Methodology
  • Data Governance & Privacy
  • Leadership Skills

What recruiters look for in a Data Product Manager's resume: 

  • Proficiency in Python, Java, or C++, and hands-on experience with frameworks like TensorFlow or PyTorch.
  • Strong foundation in data structures, algorithms, and statistical analysis.
  • Proven ability to analyse large, complex datasets and extract actionable insights.
  • Experience developing, deploying, and monitoring machine learning models.
  • Skilled in using data visualisation tools and creating dashboards for decision-making.
  • Excellent problem-solving and quantitative evaluation skills.

What can make your Data Product Manager resume stand out:

A strong summary that demonstrates your skills, experience and background in data product management

  • A results-driven Data Product Manager with a strong track record of delivering data-driven solutions that drive operational efficiency, and customer value. Skilled in defining and executing data product roadmaps, translating complex data needs into actionable requirements, and collaborating cross-functionally with data engineers, analysts, and business stakeholders. Adept at leading the development of analytics platforms, customer-facing data features, and internal decision-support tools while ensuring data quality, compliance, and scalability. 

Targeted job description 

  • Drive the design, development, and evaluation of data products by leveraging large-scale datasets, advanced analytics, and machine learning techniques to deliver high-impact business outcomes.
  • Collaborate closely with cross-functional teams—data scientists, engineers, designers, and business stakeholders—to translate product requirements into scalable data solutions.
  • Stay up to date with emerging trends in AI, data platforms, and analytics technologies to inform product strategy and innovation.
  • Lead end-to-end product development, from ideation and roadmap planning to execution and post-launch analysis.
  • Mentor junior team members, provide technical and strategic guidance, and foster a data-driven culture across teams.

Related academic background 

  • B.Tech in Computer Science at DY Patil International University, Pune | 2017

Sample Resume of Data Product Manager in Text Format

KIRTI JAGDEO

Data Product Manager 

+91-XXXXXXXXXX | support@resumod.co | Pune, India

SUMMARY 

A results-driven Data Product Manager with a strong track record of delivering data-driven solutions that drive operational efficiency, and customer value. Skilled in defining and executing data product roadmaps, translating complex data needs into actionable requirements, and collaborating cross-functionally with data engineers, analysts, and business stakeholders. Adept at leading the development of analytics platforms, customer-facing data features, and internal decision-support tools while ensuring data quality, compliance, and scalability. 

EMPLOYMENT HISTORY

Data Product Manager at KOHLER from 2022 - Present, Pune

  • Defining and executing the roadmap for data products, including analytics platforms, ETL pipelines, customer-facing data features, and executive dashboards.
  • Collaborating cross-functionally with data scientists, engineers, analysts, and business stakeholders to convert complex requirements into scalable product solutions.
  • Prioritising features and enhancements using data-driven insights, business impact assessments, and stakeholder inputs to maximise product value.
  • Created and maintained detailed PRDs, user stories, and acceptance criteria to ensure alignment across agile teams.

Assistant Data Product Manager at Nihilent from 2019 - 2022, Pune

  • Supported the Senior Data Product Manager in developing and executing the roadmap for internal analytics tools, data services, and reporting dashboards.
  • Assisted in creating and refining Product Requirement Documents (PRDs), user stories, and test cases to guide development cycles.
  • Coordinated user acceptance testing (UAT) and monitored product metrics post-launch to evaluate performance and user adoption.
  • Maintained documentation around data privacy, compliance, and governance to ensure alignment with organisational standards.

Product Analyst at Jump Cloud from 2017 - 2019, Pune

  • Wrote and maintained Product Requirement Documents (PRDs), feature specifications, and acceptance criteria.
  • Gathered and analysed customer feedback and product performance metrics to inform future enhancements.
  • Participated in sprint planning, backlog grooming, and agile ceremonies to support smooth product execution.
  • Assisted in A/B testing and experimentation to validate product hypotheses and features.

EDUCATION

  • B.Tech in Computer Science at DY Patil International University, Pune | 2017

Dissertation:

  • Built a Data Product to Monitor ESG Metrics in Indian Enterprises
  • Objective: Designed a data dashboard that captures, processes, and visualises environmental, social, and governance KPIs.

SKILLS

Data Querying | Data Warehousing & Pipelines | Data Visualization Tools | Analytics & Experimentation | APIs & Data Integration | Roadmap Planning & Prioritization | Agile/Scrum Methodology | Data Governance & Privacy

LANGUAGES

English

Hindi

Marathi