Jobs · Marketing · Missouri

Data Product Manager

Techwave · Kansas City, Missouri, United States · Yesterday
MarketingFull-time

About Us

Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We enable clients to maximize their potential and achieve greater market reach through a wide array of technology services, including Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of Things (IoT). Founded in 2004 and headquartered in Houston, TX, USA, Techwave leverages expertise in Digital Transformation, Enterprise Applications, and Engineering Services to help businesses accelerate growth. We foster a culture of growth and inclusivity, challenging our team at every step and providing opportunities to excel.

About the Role

As a Product Manager 1, you will independently execute defined product workstreams and features in support of internal products and platforms. You will partner closely with Product Managers, Designers, Engineers, and Product Operations to translate business needs into delivery-ready requirements and ensure smooth progression from discovery through release. This role represents a critical execution layer within the product organization, operating with growing autonomy while escalating broader tradeoffs and strategic questions to Product Managers.

Responsibilities

  • Own defined features, enhancements, or workstreams from discovery through delivery under an established product strategy.
  • Translate business and user needs into clear, well-structured requirements, user stories, and acceptance criteria.
  • Manage and refine product backlogs to ensure items are prioritized, scoped, and delivery-ready.
  • Partner with Engineering and Design to clarify requirements, resolve questions, and support efficient delivery.
  • Participate actively in discovery activities to understand user workflows, pain points, and constraints.
  • Identify delivery risks, dependencies, and open questions, escalating appropriately to Product Managers.
  • Support release planning and coordination to ensure smooth rollout of features and enhancements.
  • Track and report on delivery progress, usage signals, and early adoption indicators.
  • Gather and synthesize user feedback to inform backlog refinement and continuous improvement.
  • Collaborate closely with Product Operations to ensure adherence to standards, tooling, and reporting practices.
  • Operate effectively within a global delivery model, collaborating across regions and time zones.

Data Product Specialization

  • Support definition and delivery of data products, analytics features, or reporting capabilities.
  • Translate business questions into structured data requirements and backlog items.
  • Develop foundational awareness of machine learning and analytics concepts, including how model- or data-driven outputs are used within product features, to support effective collaboration and requirement definition.
  • Partner with Data Engineering and Analytics teams to clarify data availability, quality, and dependencies.
  • Support validation of data outputs against defined requirements and success criteria.

Skills

  • Strong ability to translate business needs into structured, delivery-ready requirements.
  • Working knowledge of Agile delivery practices, backlog management, and iterative development.
  • Strong organizational skills with the ability to manage multiple priorities simultaneously.
  • Clear written and verbal communication skills, with the ability to provide concise status and risk updates.

Qualifications

  • Bachelor’s degree in a relevant field.
  • 3–5 years of experience in product management, business analysis, or closely related roles.
  • Demonstrated experience owning features or defined workstreams within a product delivery environment.
  • Experience partnering cross-functionally with Engineering, Design, and Product Operations.

Preferred Qualifications

  • Experience supporting internal or enterprise products in a professional services environment.
  • Exposure to AI, automation, analytics, or data-driven product capabilities.
  • Familiarity with tools such as Azure DevOps, ServiceNow, or similar product delivery platforms.

Location: Hyderabad

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