Product Manager

Golden Opportunities; Hyderabad; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Golden Opportunities in Hyderabad, India, is seeking a senior product leader to define and execute a vision centered on technical innovation. The role translates business goals into precise technical requirements and user stories for engineering and data science teams.

You will prioritize features using data-driven insights and partner with stakeholders to ensure quality outputs, while shaping roadmaps for data warehousing, ETL pipelines, and BI dashboards, all within regulatory data privacy

Qualifications

• Product management and strategy with data-driven decision making.
• Experience translating business goals into technical requirements.
• Ability to articulate product value to diverse stakeholders.

Responsibilities

• Define and execute a comprehensive product vision focused on technical innovation.
• Translate high-level business goals into detailed technical requirements and user stories for engineering and data science teams.
• Prioritize features based on data-driven insights, customer feedback, and feasibility.
• Partner with cross-functional stakeholders to evaluate product performance and ensure outputs meet quality standards.
• Define the roadmap for data warehousing, ETL pipelines, and BI dashboards.
• Ensure compliance with data privacy regulations and build trustworthy datasets.
• Bridge data capabilities with company goals across teams.
• Communicate technical concepts and product value to executives and external stakeholders.

Skills

Product management

AI Product

Product Strategy

GTM

Education

Any Graduation

Job description

Skills:

Product management, AI Product, Product Strategy, GTM.

Educationand Certification:

Any Graduation

Job Description

Define and execute a comprehensive product vision focused on technical innovation. Translate high-level business goals into detailed technical requirement and user stories for engineering and data science teams.

• Prioritize features based on data-driven insights, customer feedback,and technical feasibility.
• Partner with cross-functional stakeholders to evaluate productperformance and ensure outputs meet quality standards.
• Define the roadmap for data warehousing, ETL pipelines, and businessintelligence dashboards.
• Ensure compliance with data privacy regulations and build reliable,trustworthy datasets.
• Partner with data engineers, scientists, legal, and business units toalign data capabilities with company goals.
• Drive alignment across Engineering, Data Science, and Operations tobuild robust GTM strategies and technical documentation.
• Communicate complex technical concepts and product value propositionsclearly to executive leadership and external stakeholders.
• Act as the primary bridge between technical teams and business units toensure technical feasibility meets commercial reality.