Data Product Manager

IN13 Techwave Consulting India Private Ltd.; India; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

IN13 Techwave Consulting India Private Ltd. is looking for a Data Product Manager to manage product features from discovery to delivery. This role requires 3-5 years of relevant experience and expertise in translating business needs into structured requirements.

The successful candidate will collaborate with cross-functional teams and utilize Agile practices to manage schedules and product backlogs effectively.

Qualifications

• 3-5 years of experience in product management, business analysis, or closely related roles.
• Experience owning features or defined workstreams within a product delivery environment.
• Demonstrated ability to collaborate with Engineering, Design, and Product Operations.

Responsibilities

• Own features and enhancements from discovery through delivery.
• Translate business and user needs into clear requirements.
• Manage and refine product backlogs to ensure prioritization.

Skills

Business needs translation

Agile delivery practices

Organizational skills

Clear communication

Education

Bachelor’s degree in a relevant field

Tools

Azure DevOps

ServiceNow

Job description

Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. Founded in 2004, headquartered in Houston, TX, USA, Techwave leverages its expertise in Digital Transformation, Enterprise Applications, and Engineering Services to enable businesses to accelerate their growth.

Job Description

Role: Data Product Manager
Experience: 3-5 Years
Location: Hyderabad

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.
• 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: 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.