Program Manager - Modern Data Platform Implementation

India - Gurgaon
Public Cloud - Offerings and Delivery – Cloud Data Services /
Full - Time /
Remote

Overview 
We are seeking an experienced Program Manager with extensive expertise in managing large-scale data platform migration programs. This senior role requires a proven track record of successfully leading Lakehouse/Data warehouse migration initiatives from on-premises to cloud environments, with specific focus on Databricks implementations in the healthcare industry. 
 
About the Role 
As a Program Manager, you will be responsible for overseeing complex, enterprise-wide data platform transformation programs. You will lead cross-functional teams to deliver successful migrations from legacy systems to modern Databricks-based data platforms, ensuring alignment with business objectives, regulatory compliance, and technical excellence. 
 

Key Responsibilities

    • Lead large-scale Data Warehouse or Lakehouse implementation programs, managing the full lifecycle from initiation through planning, execution, and closure.
    • Develop comprehensive program plans, including resource allocation, budget management, risk mitigation, and dependency tracking 
    • Coordinate multiple project workstreams, ensuring seamless integration and alignment across teams 
    • Establish and maintain program governance frameworks, including reporting structures, change management processes, and quality assurance protocols 
    • Collaborate with executive stakeholders to define program vision, objectives, and success criteria 
    • Manage relationships with key stakeholders, including business leaders, IT teams, vendors, and regulatory bodies 
    • Identify and mitigate program risks, issues, and dependencies, implementing effective resolution strategies 
    • Lead the transition from legacy data warehouse systems to modern Databricks Lakehouse architecture 
    • Ensure compliance with healthcare industry regulations and data governance requirements 
    • Facilitate knowledge transfer and capability building within the organization 
    • Drive continuous improvement initiatives throughout the program lifecycle 

Qualifications

    • 15+ years of experience in project and program management, with a focus on data and analytics initiatives 
    • Proven track record of successfully managing large-scale data platform migration programs from on-premises to cloud environments 
    • Extensive experience with Databricks implementation and Lakehouse architecture 
    • Deep understanding of healthcare industry data requirements, regulations, and compliance standards 
    • Strong knowledge of data warehouse concepts, ETL processes, and modern data engineering practices 
    • Experience with cloud platforms (AWS, Azure, GCP) and their data services 
    • Familiarity with Agile, Waterfall, and hybrid project management methodologies 
    • Excellent stakeholder management and communication skills at all organizational levels 
    • Strong leadership abilities with experience managing diverse, cross-functional teams 
    • Ability to translate complex technical concepts into business-friendly language 
    • Experience managing program budgets exceeding $1M 
    • Bachelor's degree in Computer Science, Information Technology, or related field; advanced degree preferred 
    • Professional certifications such as PMP, PgMP, or equivalent 

Technical Knowledge

    • Optional Healthcare Industry Knowledge 
    • Healthcare data regulations (HIPAA, HITECH, etc.) 
    • Healthcare data standards (HL7, FHIR, etc.) 
    • Clinical and operational data workflows 
    • Healthcare analytics use cases and requirements 
    • Population health management data needs 
    • Value-based care data requirements 
    • Healthcare interoperability standards 

    • What We Offer 
    • Opportunity to lead transformative data initiatives in the healthcare industry 
    • Collaborative and innovative work environment 
    • Competitive compensation package 
    • Professional development opportunities 
    • Work with cutting-edge data technologies and methodologies