Senior Data Program Manager

About Us:

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit .

Job Title: Associate Principal Program & Project Management (Data Program Manager)

Work Location-Irvine, CA

Job Description:

The Senior Data Program Manager will lead strategic initiatives focused on modernizing and scaling enterprise data platforms. This role demands deep expertise in Master Data Management (MDM), ETL modernization, and cloud-native architectures on AWS, with a strong emphasis on program governance, stakeholder alignment, and delivery excellence.

• Program Leadership: Drive end-to-end delivery of large-scale data modernization programs, including MDM and ETL transformation initiatives.
• Cloud Transformation: Lead migration from legacy ETL platforms (e.g., Informatica PowerCenter) to AWS-native solutions using PySpark, Glue, and other services
• Architecture & Strategy: Collaborate with solution architects to define scalable integration architectures and next-gen MDM SaaS ecosystems
• Stakeholder Management: Engage with cross-functional teams including business, technology, and client partners to ensure alignment and transparency.
• Governance & Reporting: Establish program governance frameworks, track KPIs, and report progress to senior leadership and clients.
• Team Enablement: Mentor engineering leads and data architects, fostering a culture of innovation and accountability.

Required Skills & Experience

• 10+ yearsin data program management, with proven success in large-scale data platform delivery.
• Deep expertise in MDM systems, ETL tools, and data integration frameworks.
• Strong hands-on experience with AWS services: EC2, S3, Glue, EMR, Lambda, IAM, CloudFormation, etc.
• Familiarity with PySpark, Kafka, TALEND, and CI/CD pipelines(Jenkins, GitHub).
• Experience in data governance, metadata management, and data quality frameworks.
• Excellent communication, stakeholder engagement, and leadership skills.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ( LTIM ):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.