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.
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.
Apply To This Job
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.
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.
Apply To This Job