Quantum - Data Conversion Lead

<p><span>We are looking for a talented <strong>Quantum - Data Conversion Lead</strong> to join our team in <strong>Systems/Information Technology </strong>from your <strong>remote home office.</strong></span></p> <p><span><strong>In this role, you will make an impact in the following ways: </strong> </span></p> <p style="margin-left:0.25in"><span><strong>Own the outcome</strong></span></p> <ul> <li><span>Be the single owner for <strong>data readiness</strong> for each release, country, and plant—<strong>clean, complete, and on time</strong>.</span></li> <li><span>Define the <strong>data conversion strategy, standards, and guardrails</strong>, and ensure consistent adoption.</span></li> </ul> <p style="margin-left:0.25in"><span><strong>Plan & prioritize</strong></span></p> <ul> <li><span>Own the <strong>end‑to‑end data conversion plan</strong> (objects, cycles, dependencies, milestones).</span></li> <li><span>Prioritize the conversion backlog with Build, Functional, and Test leads.</span></li> <li><span>Align data loads with <strong>environment refreshes</strong> and testing cycles (SIT, E2E, UAT, PAT).</span></li> </ul> <p style="margin-left:0.25in"><span><strong>Lead day‑to‑day execution</strong></span></p> <ul> <li><span>Review <strong>overnight data loads</strong> and conversion results; triage failures and data quality issues.</span></li> <li><span>Direct daily work for data engineers and <strong>vendor SI partners</strong> to resolve root causes.</span></li> <li><span>Ensure mappings, transformation rules, and reconciliation steps are accurate and repeatable.</span></li> </ul> <p style="margin-left:0.25in"><span><strong>Coordinate across tracks</strong></span></p> <ul> <li><span>Partner with <strong>Integration Leads</strong> to align interfaces and conversions (structures, timing, cutovers).</span></li> <li><span>Collaborate with <strong>Functional Leads</strong> to validate business rules and required data shapes.</span></li> <li><span>Work with <strong>Testing teams</strong> to ensure clean, stable data is available and defects tied to data are resolved.</span></li> </ul> <p style="margin-left:0.25in"><span><strong>Design governance</strong></span></p> <ul> <li><span>Lead reviews of conversion designs, mappings, and exception handling.</span></li> <li><span>Enforce <strong>global standards</strong> for reuse, automation, error handling, and auditability.</span></li> <li><span>Approve design changes that impact downstream processes, performance, or compliance.</span></li> </ul> <p style="margin-left:0.25in"><span><strong>Quality & controls</strong></span></p> <ul> <li><span>Define and enforce <strong>Definition of Ready / Definition of Done</strong> for conversion objects.</span></li> <li><span>Set and monitor <strong>data quality thresholds</strong> (accuracy, completeness, duplicates, referential integrity).</span></li> <li><span>Ensure <strong>reconciliation and business sign‑offs</strong> are completed for each release.</span></li> </ul> <p style="margin-left:0.25in"><span><strong>Issue management & decisioning</strong></span></p> <ul> <li><span>Make day‑to‑day <strong>trade‑off decisions</strong> (fix at source vs. transform vs. post‑load correction).</span></li> <li><span>Escalate issues only when schedule, cost, compliance, or scope is materially impacted.</span></li> <li><span>Drive <strong>root‑cause analysis</strong> for recurring issues and institutionalize permanent fixes.</span></li> </ul> <p style="margin-left:0.25in"><span><strong>Cutover readiness</strong></span></p> <ul> <li><span>Own the <strong>data conversion runbook</strong>, timing, staffing, and contingency plans.</span></li> <li><span>Validate mock conversions and ensure cutover rehearsals meet timing and quality targets.</span></li> <li><span>Lead data activities during go‑live and support rapid stabilization.</span></li> </ul> <p style="margin-left:0.25in"><span><strong>Stakeholder communication</strong></span></p> <ul> <li><span>Provide <strong>clear, concise status updates</strong>—what’s on track, what’s at risk, and recommended actions.</span></li> <li><span>Translate technical data issues into <strong>business impact</strong>.</span></li> <li><span>Communicate readiness, risks, and mitigation plans to program and leadership teams.</span></li> </ul> <p style="margin-left:0.25in"><span><strong>People & partner leadership</strong></span></p> <ul> <li><span>Coach data engineers on scalable, reusable conversion patterns.</span></li> <li><span>Manage <strong>vendor SI partners</strong> to outcomes and delivery commitments.</span></li> <li><span>Build internal capability over time to reduce long‑term dependency on external partners.</span></li> </ul> <p style="margin-left:0.25in"><span><strong>Compliance & auditability</strong></span></p> <ul> <li><span>Ensure data conversions comply with <strong>security, privacy, and retention</strong> requirements.</span></li> <li><span>Maintain end‑to‑end <strong>data lineage and traceability</strong> from source to SAP.</span></li> <li><span>Keep documentation current (mappings, rules, reconciliation templates, approvals).</span></li> </ul> <p style="margin-left:0.25in"><span><strong>Continuous improvement</strong></span></p> <ul> <li><span>Industrialize the <strong>data conversion factory</strong> through automation and standardization.</span></li> <li><span>Track KPIs such as pass rates, reconciliation variances, and cycle times.</span></li> <li><span>Capture lessons learned and scale improvements globally.</span></li> </ul> <br>Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.