US Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 21st Oct 2025
• Proficient in all stages of the data product management lifecycle, with strong analytic and critical thinking skills to represent both business and technical needs
• Experience understanding and diagraming complex business processes, gathering functional requirements, providing support and guidance to internal IT teams and external vendors as they develop technical solutions.
• Ability to guide stakeholders through problem definition, requirements gathering, and implementation
• Knowledge of asset maintenance and reliability processes and how they integrate with data analytics platforms.
• Familiarity with UX/UI principles and best practices, particularly as they apply to manufacturing and asset management systems
• Collaborate across IT teams (application development, infrastructure, and support) and internal business partners to determine the best solutions by researching alternatives, performing functional analysis, and designing/implementing business transformation projects.
• Communicate effectively to business partners, IT teams and Leadership on status, risks and roadblocks, and aid team members to overcome obstacles by working collaboratively.
• Serve as the SME for planning and managing the implementation of a decided upon solution, including and any required integrations.
• Execute against a prioritized backlog to deliver highest value initiatives aligned with business strategies.
• Develop knowledge of supported business processes and system configuration to support, optimize and transform process across the business partners.
• Actively participate in sprint activities to ensure development team alignment.
• Champion user-centric products, advocating for their needs throughout the product lifecycle.
• Conduct user acceptance testing to validate product functionality and quality.
• Manage product backlogs, defining and prioritizing user stories to maximize business value.
• Ensure data confidence and reliability through data quality standards, controls, and monitoring