Product Manager Data Science CoE

1 day ago

Hyderabad, India Algoleap Technologies Full time

SUMMARY

Job Title: Product Manager Data Science CoE

Location:  Hyderabad, India (Hybrid)
Experience: 10+ years

Role Type:  Full - time

Start Date: Immediate

About the Role:

We are establishing a Data Science Center of Excellence (CoE) to drive data-driven innovation and insights across multiple global business units. We're looking for a seasoned Product Manager to lead this initiative from inception to scale. This role will act as the strategic interface between business stakeholders and the data science team to define, prioritize, and deliver impactful data products and solutions.

Key Responsibilities:

  • Collaborate with global business leaders to identify and prioritize high-impact data science opportunities.

  • Define the product vision, roadmap, and success metrics for the Data Science CoE.

  • Lead the intake and discovery process for data science initiatives across portfolio companies.

  • Translate complex business problems into well-defined data science use cases.

  • Manage stakeholder expectations and ensure alignment across multiple business units.

  • Collaborate with the Data Science Lead to scope projects, allocate resources, and monitor delivery.

  • Establish governance practices for project intake, prioritization, and lifecycle management.

  • Drive adoption of data products by focusing on user-centric design and clear communication of value.

Qualifications:

  • 10+ years of experience in product management, program management, or data/AI product ownership roles.

  • Proven experience working with data science or analytics teams in a product or program capacity.

  • Strong understanding of data science concepts, machine learning lifecycles, and value realization.

  • Excellent stakeholder management, communication, and cross-functional leadership skills.

  • Experience in setting up or scaling CoEs, innovation hubs, or enterprise-wide data/AI programs is preferred.

  • Comfortable working in a global matrixed organization with distributed teams.

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