SAP IS-U Data-Conversion Manager – Utilities Transformation

EY

Woodbridge Township (NJ)

Remote

USD 103,000 - 188,000

Full time

3 days ago

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Job summary

EY in the United States is seeking a Manager in Technology Analysis to lead SAP IS-U data-conversion workstreams within complex utility transformation programs, providing functional and delivery leadership from migration strategy through production cutover and stabilization.

You will own data-conversion strategy, waves, governance, and readiness; coordinate across meter-to-cash teams, ETL, data owners, and sign-off; travel up to 40-60% and oversee team capacity, risks, and audit-ready evidence.

Qualifications

Bachelor’s degree required.
Typically 4–6 years SAP IS-U or SAP Utilities experience with 3+ years leading a workstream or team.
Proven ownership of functional solution design and delivery through implementation, testing, deployment, and stabilization.
Experience leading cross-functional teams, managing dependencies and risks with business and technology stakeholders.
Strong leadership, communication, planning, and stakeholder-management skills.
Ability to balance business outcomes, solution quality, delivery constraints, and operational readiness.
Proven ownership of migration strategy, governance, reconciliation, cutover readiness, and business sign-off for complex SAP programs.
Experience coordinating utility data owners, SAP functional teams, ETL and tooling teams, and program cutover leadership.
Willingness to travel 40-60%.

Responsibilities

Own data-conversion strategy, scope, governance, delivery plans, and readiness for SAP IS-U programs or releases.
Define conversion waves, object sequencing, ownership, reconciliation controls, acceptance criteria, and decision gates across utility data domains.
Lead source-system assessments and data-quality planning with business owners and remediation ownership.
Set functional and technical approach for mapping, transformation, tooling, staging, loads, and mock-conversion cycles.
Coordinate SAP functional leads, source-system teams, ETL developers, data stewards, and cutover leadership across meter-to-cash workstreams.
Govern mock loads, defect priorities, conversion metrics, control totals, and reconciliation and sign-off.
Own cutover readiness, load sequencing, contingency planning, production execution, and post-load validation.
Manage team capacity, risks, scope, estimates, and executive decisions with knowledge transfer and audit-ready evidence.