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LTM is seeking a seasoned Data Modernization Program Manager in Hartford, Connecticut. This role will lead large-scale enterprise data transformation initiatives, modernizing from legacy systems to cloud-based architectures like Snowflake.
Ideal candidates will have 15 years of experience in Data Analytics and Program Management, demonstrating strong stakeholder management and technical expertise. Comprehensive benefits and compensation aligned with individual performance are offered.
Seasoned Data Modernization Program Manager to lead large-scale enterprise data transformation initiatives. This role will drive end‑to‑end modernization from legacy platforms such as SSIS SQL Server to modern cloud‑based architectures such as Snowflake while acting as the primary interface between business stakeholders, data engineering teams, and leadership.
15 years of experience in Data Analytics, Data Engineering, and Program Management.
Strong experience in the Insurance domain; PC preferred.
Exposure to AI‑driven data engineering automation frameworks.
Experience transitioning programs into Managed Services (MSM) models.
Proven ability to manage distributed teams (onshore/offshore).
Excellent stakeholder management and executive communication.
Strong understanding of Snowflake data warehousing performance and cost optimization.
SSIS legacy ETL platforms.
Data migration frameworks and tools.
Exposure to cloud platforms (Azure, AWS), ELT/ETL orchestration, data pipelines, and CI/CD.
Data quality governance and validation frameworks.
Lead end‑to‑end delivery of data modernization programs, including discovery, design, migration, validation, and stabilization.
Drive execution across multiple pods and cross‑functional teams (onshore/offshore).
Ensure adherence to timelines, quality benchmarks, and cost functions.
Act as a technical mentor for teams in the program.
Drive strategic conversations with the customer.
Provide strong oversight on data architecture migration approach and target‑state design.
Drive transformation from legacy ETL (SSIS) to modern cloud‑based data platforms (Snowflake).
Ensure data quality validation, reconciliation, and downstream system alignment.
Act as the primary point of contact (POC) for business client stakeholders and leadership.
Drive requirement alignment with business domains and downstream stakeholders.
Lead governance forums, executive program reviews, budgeting (WSR), and MOC.
Establish strong program governance reporting cadence and escalation management.
Identify and mitigate risks related to data migration, downstream integration, and performance.
Ensure compliance with regulatory audit and data governance standards.
Act as data practice anchor for the account.
Support solutioning, estimations, and SOW development for supplemental data programs.
Drive standardization, best practices, and continuous improvement.
This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity.
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, such as an annual performance‑based bonus, sales incentive pay, and other forms of bonus or variable compensation.
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.