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About AuxoAI AuxoAI helps enterprises transform how they operate by combining business consulting, data, engineering, and Agentic AI. We are building an AI-native consulting model in which every team member is expected to use AI thoughtfully to improve speed, insight, quality, and client outcomes. What You Will Do · 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. AI-Enabled Delivery Responsibilities · 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. Common AI-First Expectations at AuxoAI · Use enterprise AI tools such as ChatGPT Enterprise, Claude Enterprise, Gemini, or equivalent platforms to accelerate delivery and improve decision-making. · Apply AI to automate meeting summaries, action-item tracking, status reporting, executive communications, and document synthesis. · Use AI-assisted analysis to identify delivery risks, cross-team dependencies, emerging bottlenecks, and areas requiring leadership attention. · Continuously identify PMO activities that can be simplified, standardized, or automated through AI and workflow automation. · Validate AI-generated outputs for accuracy, confidentiality, traceability, and business relevance before they are used in program decisions. · Collaborate with consulting, data, engineering, and AI teams to pilot and scale AI-enabled delivery practices across the program. Requirements · 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. Preferred Qualifications · Experience with Oracle Fusion data conversion, FBDI, ADFdi, or related Oracle data-load methods. · Exposure to SQL, ETL/ELT, Snowflake, Informatica, Oracle Integration Cloud, or similar platforms. · Experience supporting mock conversions, reconciliations, SIT, UAT, or cutover. · Experience with Jira, Azure DevOps, Power BI, Tableau, Smartsheet, or Microsoft Project. · Familiarity with data governance, data quality, and master data management. What Success Looks Like · Clear delivery visibility · Early risk identification · Responsible AI adoption · Predictable workstream outcomes