AI-Driven Data Solutions Program Manager

AuxoAI Inc.

Irvine, Northern (CA, KY)

Hybrid

USD 90,000 - 140,000

Full time

14 days+

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Job summary

AuxoAI Engineering Pvt. Ltd. in Irvine, CA, is seeking a US - Program Manager for Data Solutions (AI PMO) to own the integrated data delivery plan, coordinate diverse teams, and drive end-to-end data migration and validation efforts.

You will oversee data readiness, cutover sequencing, and status reporting, while leveraging AI to accelerate mapping reviews, reconciliation summaries, and risk insights. Strong coordination and communication skills are essential.

Qualifications

4-6 years of experience in project coordination, project management, data delivery, or enterprise transformation.
Understanding of data migration concepts including extraction, cleansing, mapping, conversion, validation, and reconciliation.
Experience coordinating cross-functional teams and tracking milestones, dependencies, risks, issues, and decisions.
Strong Excel, documentation, analytical, and communication skills.
Ability to translate technical data issues into clear business and program impacts.
Comfort using AI tools to analyze documents, summarize findings, and improve reporting.

Responsibilities

Maintain the integrated delivery plan for data migration, conversion, cleansing, reconciliation, and validation activities.
Coordinate business data owners, source-system teams, data engineers, functional teams, testing teams, and the System Integrator.
Track data objects, conversion cycles, mock loads, entry and exit criteria, defects, reconciliations, and business sign-offs.
Manage dependencies between source extraction, transformation rules, Oracle load processes, downstream validation, and cutover sequencing.
Facilitate data readiness reviews and drive resolution of quality, mapping, ownership, timing, and environment issues.
Prepare concise status reporting on conversion progress, data quality, open defects, reconciliation results, and readiness risks.
Support SIT, UAT, business simulation, cutover rehearsals, production migration, and hypercare validation.
Ensure decisions, assumptions, mapping changes, and unresolved data issues are traceable and assigned to accountable owners.
Use AI to summarize mapping documents, identify conflicting transformation rules, and highlight incomplete data ownership decisions.
Generate AI-assisted conversion status narratives, reconciliation summaries, defect themes, and data-quality risk insights.
Apply AI to compare source-to-target specifications, workshop decisions, and test evidence for traceability gaps.
Develop repeatable prompts or workflows that improve the speed and consistency of data PMO activities.