Data Modernization Program Manager

LTM

$120K — $150K *
Finance & Insurance
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15 years of experience in Data Analytics, Data Engineering, and Program Management.
  • Proven experience managing large data modernization migration programs.
  • Strong experience in the Insurance domain, preferably.
  • Exposure to AI-driven data engineering automation frameworks.
  • Experience transitioning programs into Managed Services (MSM) models.
  • Proven ability to manage distributed teams both onshore and offshore.
  • Excellent stakeholder management and executive communication skills.

Responsibilities

  • 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 and offshore.
  • Ensure adherence to timelines, quality benchmarks, and cost functions.
  • Act as a technical mentor for teams within the program.
  • Drive strategic conversations with customers regarding their data needs.
  • Provide oversight on data architecture migration approach and target-state design.
  • Act as the primary point of contact for business client stakeholders and leadership.

Benefits

  • Participation in governance forums and Executive Program Reviews.
  • Opportunity to drive innovation and improvement in data practices.
  • Access to cross-functional collaboration and diverse project pods.
  • Involvement in high-impact decision making at executive levels.
Full Job Description
Role description

Program Manager Onshore

Seasoned Data Modernization Program Manager to lead largescale enterprise data transformation initiatives This role will drive endtoend modernization from legacy platforms eg SSIS SQL Server to modern cloudbased architectures eg Snowflake while acting as the primary interface between business stakeholders data engineering teams and leadership

Experience

15 years of experience in Data Analytics Data Engineering Program Management

Proven experience managing large data modernization migration programs

Strong experience in Insurance domain PC preferred

Exposure to AIdriven data engineering automation frameworks

Experience transitioning programs into Managed Services MSM models

Strong program management experience multimillion programs preferred

Proven ability to manage distributed teams onshoreoffshore

Excellent stakeholder management and executive communication

Technical Skills

Strong understanding of

Snowflake data warehousing performance cost optimization

SSIS legacy ETL platforms

Data migration frameworks and tools

Exposure to

Cloud platforms Azure AWS

ELTETL orchestration data pipelines CICD

Data quality governance and validation frameworks

Key Responsibilities

Program Delivery Execution

Lead endtoend delivery of data modernization programs discovery design migration validation and stabilization

Drive execution across multiple pods and crossfunctional teams onshoreoffshore

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

Data Modernization Architecture Oversight

Provide strong oversight on data architecture migration approach and targetstate design

Drive transformation from legacy ETL SSIS to modern cloudbased data platforms Snowflake

Ensure data quality validation reconciliation and downstream system alignment

Stakeholder Business Engagement

Act as the primary point of contact POC for business client stakeholders and leadership

Drive requirement alignment with business domains and downstream

Lead governance forums Executive Program Reviews WSR budgeting MOC

Governance Risk Compliance

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

Practice Leadership Solutioning

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

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