DE&A - Core - Project Management - Project Management

Role Overview

We are looking for a seasoned Program/Project Manager with strong Insurance domain expertise and a solid Data Engineering background to lead large-scale data transformation and modernization initiatives. The ideal candidate will drive delivery excellence across data platforms, ensure alignment with business objectives, and manage cross-functional teams in a fast-paced environment.

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Key Responsibilities

1. Program & Delivery Management

• Lead end-to-end delivery of data engineering and analytics projects within the insurance domain.
• Define project scope, timelines, milestones, and deliverables aligned with business goals.
• Manage program governance, including status reporting, risk management, and stakeholder communication.
• Drive Agile/Scrum or hybrid delivery methodologies.

2. Insurance Domain Alignment

• Collaborate with business stakeholders across Claims, Policy, Underwriting, Billing, and Finance functions.
• Translate insurance business requirements into data engineering solutions and roadmaps.

3. Data Engineering Leadership

• Oversee design and implementation of data pipelines, ETL/ELT processes, and data warehouses/data lakes.
• Guide teams working on cloud platforms (Snowflake, DBT and AWS)
• Ensure data quality, governance, lineage, and security standards are maintained.

4. Stakeholder & Client Management

• Act as the primary interface for client stakeholders, ensuring transparency and trust.
• Manage expectations, escalations, and change requests effectively.
• Present executive-level updates and drive decision-making forums.

5. Team Leadership & Delivery Excellence

• Manage cross-functional teams including data engineers, analysts, architects, and QA teams.
• Drive resource planning, utilization, and performance management.
• Establish KPIs such as defect density, data accuracy, SLA adherence, and delivery timelines.

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Required Skills & Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Experience

• 10–15+ years of experience in IT, with: 
  • 5+ years in project/program management
  • Strong exposure to insurance domain (mandatory)
  • Hands-on experience in data engineering / data platforms

Technical Skills

• Strong understanding of: 
  • Data Engineering concepts (ETL/ELT, Data Warehousing, Data Lake)
  • Cloud platforms AWS, GLUE etc
  • Tools: Snowflake, SQL, Python, Amazon Kinesis

Domain Knowledge

• Deep understanding of: 
  • Insurance processes (Claims, Policy, Underwriting, Billing)
  • Regulatory and compliance requirements
• Knowledge of Guidewire, or InsuranceNow ecosystems

Soft Skills

• Strong leadership and team management capabilities
• Excellent communication and stakeholder management skills
• Problem-solving and decision-making ability
• High level of ownership and accountability

Preferred Qualifications

• Certifications in PMP, Agile/Scrum (CSM/SAFe) or cloud platforms
• Exposure to AI/ML-driven data transformation initiatives

 

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.