Apply on Employer Site

Crowe · 1 week ago

Microsoft Dynamics 365 ERP Data Migration and Analytics Manager

Cleveland, OH

Full-time

Hybrid

Mid, Senior Level

$109K/yr - $218K/yr

7+ years exp

Crowe is a leading public accounting, consulting, and technology firm in the United States, dedicated to delivering excellent service through innovation. They are seeking a Senior Techno-Functional Data Migration and Analytics Manager to oversee the data lifecycle for their Microsoft Consulting Manufacturing Business Applications unit, focusing on data migration, analytics, and AI readiness to maximize client value in manufacturing environments.

AccountingAdviceConsultingFinanceFinancial ServicesInformation TechnologyProfessional ServicesTax Consulting

No H1B

Responsibilities

Own the end‑to‑end data migration workstream for ERP implementations —from discovery and scoping through cutover and post‑go‑live stabilization

Establish a modern migration playbook (standards, templates, accelerators) covering mapping, cleansing, enrichment, validation, reconciliation, and defect triage

Optimize build/test cycles using automation and re‑usable scripts; drive measurable reductions in cycle time and defects

Partner with technical teams on tooling (e.g., D365 Data Management & data entities, Dataverse, ETL pipelines) while staying focused on business outcomes and readiness

Start analytics work from Day 1 of the project: treat data as a core design element in ERP implementations, not an afterthought. Define success measures and a KPI tree aligned to manufacturing goals (e.g., OTIF, schedule adherence, cost variances, inventory turns) before configuration begins

Position clients for AI and automation: harden data lineage, governance, and telemetry so Copilot, advanced analytics, and Power Automate scenarios can be safely adopted and deliver measurable outcomes

Influence functional design so that implementations capture and structure the right data at the right quality

Orchestrate cross‑functional delivery: backlog creation, user stories, acceptance criteria, test strategy, and risk/issue management using Azure DevOps

Communicate clearly with client executives and SMEs; facilitate workshops; make trade‑off recommendations grounded in value and feasibility

Scale knowledge via playbooks, standards, brown‑bags, and communities of practice; contribute reusable assets and accelerators

Collaborate closely with global teammates to drive 'follow‑the‑sun' progress and improve our offshore/nearshore delivery model

Stay current on Microsoft’s business apps and data stack (D365 Finance & Supply Chain, Dataverse, Power Platform, Power BI, Azure/Microsoft Fabric, and Copilot/AI features) and identify pragmatic, near‑term applications to client scenarios

Translate new capabilities into value‑backed proposals: quick POCs, ROI hypotheses, automation candidates (Power Automate), and data/analytics standards that improve time‑to‑value

Maintain a living Microsoft ecosystem roadmap for each client, balancing foundational data quality/governance with opportunistic wins in analytics and automation

Qualification

Microsoft D365 Finance & Supply ChainData migrationManufacturing functional knowledgeAzure data servicesPower PlatformAzure DevOpsSQL basicsClient-facing communicationPeople managementCoachingPerformance feedbackTeam leadership

Required

7–12+ years delivering data‑intensive work on large ERP programs (preferably Microsoft D365 Finance & Supply Chain; SAP or Oracle also considered)

Demonstrated ownership of data migration for manufacturing clients: domain scoping, mapping, cleansing, validation, reconciliation, and cutover execution

Strong manufacturing functional knowledge (BOMs, routings, MRP, production orders, inventory, quality, costing, procurement, order‑to‑cash, plan‑to‑produce, record‑to‑report)

Hands‑on ability to produce mockups/wireframes/POCs and partner with technical teams on practical solutions (SQL basics, data profiling, entity models, APIs/ETL concepts)

Familiarity with Azure data services (e.g., data factory, fabric, data lakes, pipelines, governance)—not as a deep SME but able to collaborate effectively with specialists

Proven client‑facing communicator with executive presence; skilled in workshops, storytelling with data, and decision facilitation

People management experience: team leadership, coaching, performance feedback, and resource planning