Databricks PM Lead – Data & Analytics

Infosys BPM Philippines; Philadelphia (Philadelphia County); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Disability insurance

Health & dependent care accounts

Insurance (Accident, Critical Illness,

Hospital Indemnity, Legal)

401(k) plan

Job summary

Infosys DNA unit seeks a Technology Project Lead 2 to drive objectives with stakeholders, manage budgets, and optimize resources across large platform teams. You will guide technical and commercial proposals, and foster client relationships while driving process improvements.

The role emphasizes Databricks, modernization, and data operations, with frequent collaboration across teams and strong leadership to deliver high-impact projects in a dynamic environment.

Qualifications

• Bachelor’s degree or foreign equivalent required.
• 3+ years in program/project management with US work eligibility.
• Experience leading large platform support teams and client interactions.

Responsibilities

• Define project objectives and scope aligned with business goals.
• Build and maintain client relationships with regular updates.
• Drive process improvement and leverage innovative methodologies.
• Identify risks and implement mitigation strategies.
• Develop estimates, monitor budgets, and allocate resources efficiently.
• Assist in preparing technical and commercial proposals.
• Plan resource allocation and conduct performance development.
• Scope changes, validate requirements, and update contracts.

Skills

Program Management

Databricks

Modernization

Data Operations

Client Interaction

Leadership

Education

Bachelor’s degree or foreign equivalent

Tools

Power BI

Tableau

Job description

Infosys DNA unit seeks a Technology Project Lead 2 to drive objectives with stakeholders, manage budgets, and optimize resources across large platform teams. You will guide technical and commercial proposals, and foster client relationships while driving process improvements.

The role emphasizes Databricks, modernization, and data operations, with frequent collaboration across teams and strong leadership to deliver high-impact projects in a dynamic environment.