Technical Project Manager

1 week ago

Bengaluru, Karnataka, India Insure Pro 2.0 Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Location: Bangalore, India

Experience: 10+ years overall, with a minimum of 6 years managing Data Science or

Data Analytics projects

Employment Type: Full-time

Job Summary:

We are looking for an experienced Technical Project Manager with a strong

background in managing Data Science and Data Engineering projects. The ideal

candidate will possess excellent communication and leadership skills, with a proven

track record of delivering complex, data-driven initiatives. You will work closely with

cross-functional teams including data scientists, analysts, data engineers, and

business stakeholders to ensure timely and successful delivery of projects.

Key Responsibilities:

  • Lead end-to-end project management for data science and data analytics

initiatives.

  • Collaborate with Data Science, Data Engineering, and Product teams to define

scope, timelines, and resource needs.

  • Develop and maintain project plans, risk assessments, and communication

strategies.

  • Ensure that project milestones and deliverables are met on time and within

scope.

  • Manage stakeholder communication, expectations, and reporting.
  • Remove roadblocks, manage dependencies, and escalate issues as necessary.
  • Maintain strong relationships with both technical and non-technical team

members.

  • Drive Agile or hybrid project methodologies as appropriate.
  • Ensure quality control and data governance best practices throughout the

project lifecycle.

  • Coach, mentor, and provide guidance to junior team members when needed.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data

Science, or a related field.

  • 10+ years of total professional experience in technology or data-focused roles.
  • 6+ years of hands-on experience managing Data Science, Data Engineering, or

Advanced Analytics projects.

  • Strong understanding of data pipelines, machine learning workflows, and

modern cloud platforms (e.g., AWS, Azure, GCP).

  • Familiarity with tools and technologies used in the Data Science ecosystem

(e.g., Python, SQL, Spark, Jupyter, ML frameworks).

  • Excellent project management skills including planning, execution, budgeting,

and risk management.

  • Experience with Agile, Scrum, or Kanban methodologies.
  • Exceptional interpersonal and communication skills – both written and verbal.
  • Proven ability to manage people and drive team performance in a collaborative

environment.

Preferred Qualifications:

  • PMP, PRINCE2, or Agile certification is a plus.
  • Experience working in a product-based or fast-paced startup environment.
  • Prior experience working with international teams or stakeholders.

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