Technical Project Manager

Job Title: Technical Project Manager

Experience: 10+ years

Location - Hyderabad, Bangalore, Chennai, or Pune

Required Notice Period - Immediate Joiners or Serving Notice Period or 30 days

Job Summary:

The Technical Product Manager for Data & Analytics will play an integral role in the OMS Migration project. This position is responsible for identifying and engaging reporting and analytics stakeholders within LSE, gathering requirements from business users, and converting them into technical specifications. The manager will supervise the development and testing of data products and dashboards, as well as oversee User Acceptance Testing and facilitate user training and deployment activities. The preferred candidate will possess a strong technical foundation, proven experience in product management, and comprehensive knowledge of data and analytics systems.

Key Responsibilities:

• Product Ownership: Serve as the primary owner of data and analytics features within the OMS upgrade project, ensuring alignment with business goals and user needs.
• Stakeholder Collaboration: Work closely with cross-functional teams, including engineering, data science, operations, and business stakeholders, to define and prioritize data and analytics requirements.
• Roadmap Development: Develop and maintain a detailed product roadmap for data and analytics features, ensuring timely delivery and alignment with project milestones.
• Requirements Gathering: Conduct thorough requirements analysis, including gathering business needs, identifying key metrics, and defining data models and analytics workflows.
• Technical Oversight: Provide technical guidance and oversight for implementing data and analytics features, ensuring data integrity, scalability, and performance.
• Data Integration: Oversee the integration of various data sources into the OMS, ensuring seamless data flow and real-time analytics capabilities.
• Analytics Tools: Evaluate and recommend analytics tools and technologies to enhance data visualization, reporting, and decision-making processes.
• Quality Assurance: Collaborate with QA teams to ensure rigorous testing of data and analytics functionalities, addressing any issues promptly.
• User Training: Develop and deliver training programs to educate end-users and stakeholders on utilizing data and analytics features effectively.
• Continuous Improvement: Monitor the performance of data and analytics

Applicants matching with all the above skills and requirements can share resumes to abhishek.m@livecjobs.com or WhatsApp on 9154908075