Microsoft Dynamics 365 ERP Data Migration and Analytics Leader
Listed on 2025-10-05
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IT/Tech
Data Analyst, Data Engineer, Data Science Manager, Business Systems/ Tech Analyst
Microsoft Dynamics 365 ERP Data Migration and Analytics Leader
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Your Journey at Crowe Starts Here:
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups.
That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.
Job Description:
We are hiring a senior techno-functional leader to own the data lifecycle for our Microsoft Consulting Manufacturing Business Applications unit. We’re looking for someone who is enthusiastic and passionate about making the most of data in manufacturing environments—a leader who maximizes client value by properly organizing, governing, and leveraging data. This role is responsible for data across client projects—from data migration planning and execution through analytics and AI readiness.
You’ll modernize how we migrate and govern data, serve as a client-facing advisor to client-stakeholders, and scale delivery by leading and mentoring a high-performing team that collaborates globally.
You will primarily work in the Microsoft ecosystem (Dynamics 365 Sales, Finance & Supply Chain, Power Platform, Power BI) and partner with deep technical architects as needed.
Key Responsibilities:
- Lead Data Migration & Modernization (Primary):
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.
Drive Analytics & AI Readiness (Secondary):
- 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.
Solution & Delivery Leadership:
- Orchestrate cross-functional delivery: backlog creation, user stories, acceptance criteria, test strategy, and risk/issue management using Azure Dev Ops.
- Communicate clearly with client executives and SMEs; facilitate workshops; make trade-off recommendations grounded in value and feasibility.
People Leadership & Global
Collaboration:
- 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.
Continuous Learning & Microsoft Ecosystem Value:
- 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…
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