Quantum - Data Conversion Lead

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    "Title": "Quantum - Data Conversion Lead",
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    "ExternalDescriptionStr": "<p><span>We are looking for a talented&nbsp;<strong>Quantum - Data Conversion Lead</strong>&nbsp;to join our team in <strong>Systems/Information Technology&nbsp;</strong>from your <strong>remote home office.</strong></span></p>\n<p><span><strong>In this role, you will make an impact in the following ways: </strong>&nbsp;</span></p>\n<p style=\"margin-left:0.25in\"><span><strong>Own the outcome</strong></span></p>\n<ul>\n <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>\n <li><span>Define the <strong>data conversion strategy, standards, and guardrails</strong>, and ensure consistent adoption.</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>Plan &amp; prioritize</strong></span></p>\n<ul>\n <li><span>Own the <strong>end‑to‑end data conversion plan</strong> (objects, cycles, dependencies, milestones).</span></li>\n <li><span>Prioritize the conversion backlog with Build, Functional, and Test leads.</span></li>\n <li><span>Align data loads with <strong>environment refreshes</strong> and testing cycles (SIT, E2E, UAT, PAT).</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>Lead day‑to‑day execution</strong></span></p>\n<ul>\n <li><span>Review <strong>overnight data loads</strong> and conversion results; triage failures and data quality issues.</span></li>\n <li><span>Direct daily work for data engineers and <strong>vendor SI partners</strong> to resolve root causes.</span></li>\n <li><span>Ensure mappings, transformation rules, and reconciliation steps are accurate and repeatable.</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>Coordinate across tracks</strong></span></p>\n<ul>\n <li><span>Partner with <strong>Integration Leads</strong> to align interfaces and conversions (structures, timing, cutovers).</span></li>\n <li><span>Collaborate with <strong>Functional Leads</strong> to validate business rules and required data shapes.</span></li>\n <li><span>Work with <strong>Testing teams</strong> to ensure clean, stable data is available and defects tied to data are resolved.</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>Design governance</strong></span></p>\n<ul>\n <li><span>Lead reviews of conversion designs, mappings, and exception handling.</span></li>\n <li><span>Enforce <strong>global standards</strong> for reuse, automation, error handling, and auditability.</span></li>\n <li><span>Approve design changes that impact downstream processes, performance, or compliance.</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>Quality &amp; controls</strong></span></p>\n<ul>\n <li><span>Define and enforce <strong>Definition of Ready / Definition of Done</strong> for conversion objects.</span></li>\n <li><span>Set and monitor <strong>data quality thresholds</strong> (accuracy, completeness, duplicates, referential integrity).</span></li>\n <li><span>Ensure <strong>reconciliation and business sign‑offs</strong> are completed for each release.</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>Issue management &amp; decisioning</strong></span></p>\n<ul>\n <li><span>Make day‑to‑day <strong>trade‑off decisions</strong> (fix at source vs. transform vs. post‑load correction).</span></li>\n <li><span>Escalate issues only when schedule, cost, compliance, or scope is materially impacted.</span></li>\n <li><span>Drive <strong>root‑cause analysis</strong> for recurring issues and institutionalize permanent fixes.</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>Cutover readiness</strong></span></p>\n<ul>\n <li><span>Own the <strong>data conversion runbook</strong>, timing, staffing, and contingency plans.</span></li>\n <li><span>Validate mock conversions and ensure cutover rehearsals meet timing and quality targets.</span></li>\n <li><span>Lead data activities during go‑live and support rapid stabilization.</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>Stakeholder communication</strong></span></p>\n<ul>\n <li><span>Provide <strong>clear, concise status updates</strong>—what’s on track, what’s at risk, and recommended actions.</span></li>\n <li><span>Translate technical data issues into <strong>business impact</strong>.</span></li>\n <li><span>Communicate readiness, risks, and mitigation plans to program and leadership teams.</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>People &amp; partner leadership</strong></span></p>\n<ul>\n <li><span>Coach data engineers on scalable, reusable conversion patterns.</span></li>\n <li><span>Manage <strong>vendor SI partners</strong> to outcomes and delivery commitments.</span></li>\n <li><span>Build internal capability over time to reduce long‑term dependency on external partners.</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>Compliance &amp; auditability</strong></span></p>\n<ul>\n <li><span>Ensure data conversions comply with <strong>security, privacy, and retention</strong> requirements.</span></li>\n <li><span>Maintain end‑to‑end <strong>data lineage and traceability</strong> from source to SAP.</span></li>\n <li><span>Keep documentation current (mappings, rules, reconciliation templates, approvals).</span></li>\n</ul>\n<p style=\"margin-left:0.25in\"><span><strong>Continuous improvement</strong></span></p>\n<ul>\n <li><span>Industrialize the <strong>data conversion factory</strong> through automation and standardization.</span></li>\n <li><span>Track KPIs such as pass rates, reconciliation variances, and cycle times.</span></li>\n <li><span>Capture lessons learned and scale improvements globally.</span></li>\n</ul>",
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