Quantum - Data Conversion Lead

We are looking for a talented Quantum - Data Conversion Lead to join our team in Systems/Information Technology from your remote home office.

In this role, you will make an impact in the following ways: 

Own the outcome

• Be the single owner for data readiness for each release, country, and plant—clean, complete, and on time.
• Define the data conversion strategy, standards, and guardrails, and ensure consistent adoption.

Plan & prioritize

• Own the end‑to‑end data conversion plan (objects, cycles, dependencies, milestones).
• Prioritize the conversion backlog with Build, Functional, and Test leads.
• Align data loads with environment refreshes and testing cycles (SIT, E2E, UAT, PAT).

Lead day‑to‑day execution

• Review overnight data loads and conversion results; triage failures and data quality issues.
• Direct daily work for data engineers and vendor SI partners to resolve root causes.
• Ensure mappings, transformation rules, and reconciliation steps are accurate and repeatable.

Coordinate across tracks

• Partner with Integration Leads to align interfaces and conversions (structures, timing, cutovers).
• Collaborate with Functional Leads to validate business rules and required data shapes.
• Work with Testing teams to ensure clean, stable data is available and defects tied to data are resolved.

Design governance

• Lead reviews of conversion designs, mappings, and exception handling.
• Enforce global standards for reuse, automation, error handling, and auditability.
• Approve design changes that impact downstream processes, performance, or compliance.

Quality & controls

• Define and enforce Definition of Ready / Definition of Done for conversion objects.
• Set and monitor data quality thresholds (accuracy, completeness, duplicates, referential integrity).
• Ensure reconciliation and business sign‑offs are completed for each release.

Issue management & decisioning

• Make day‑to‑day trade‑off decisions (fix at source vs. transform vs. post‑load correction).
• Escalate issues only when schedule, cost, compliance, or scope is materially impacted.
• Drive root‑cause analysis for recurring issues and institutionalize permanent fixes.

Cutover readiness

• Own the data conversion runbook, timing, staffing, and contingency plans.
• Validate mock conversions and ensure cutover rehearsals meet timing and quality targets.
• Lead data activities during go‑live and support rapid stabilization.

Stakeholder communication

• Provide clear, concise status updates—what’s on track, what’s at risk, and recommended actions.
• Translate technical data issues into business impact.
• Communicate readiness, risks, and mitigation plans to program and leadership teams.

People & partner leadership

• Coach data engineers on scalable, reusable conversion patterns.
• Manage vendor SI partners to outcomes and delivery commitments.
• Build internal capability over time to reduce long‑term dependency on external partners.

Compliance & auditability

• Ensure data conversions comply with security, privacy, and retention requirements.
• Maintain end‑to‑end data lineage and traceability from source to SAP.
• Keep documentation current (mappings, rules, reconciliation templates, approvals).

Continuous improvement

• Industrialize the data conversion factory through automation and standardization.
• Track KPIs such as pass rates, reconciliation variances, and cycle times.
• Capture lessons learned and scale improvements globally.