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USD 126,745.00 - 149,600.00 per year






Job Role: MS Dynamics 365 CRM SME
Location: NY/ NJ/ Remote
Full-time
Role Overview:
We are currently developing a GenAI-enabled solution and are seeking a Subject Matter Expert (SME) with deep expertise in Salesforce, Microsoft Dynamics 365, CRM migration programs, and Agentic AI/GenAI technologies to support the review, validation, and enhancement of the proposed solution architecture, business workflows, and
migration strategy.
The SME will work closely with product, engineering, and business teams to ensure that the solution aligns with CRM
best practices, business processes, integration standards, migration methodologies, and emerging GenAI use cases
within Salesforce and Microsoft Dynamics environments.
Key Responsibilities
•Review the overall GenAI and Agentic AI solution architecture and provide recommendations from a
Salesforce and Microsoft Dynamics perspective.
•Lead and validate the migration approach from Salesforce to Microsoft Dynamics 365, including data
migration, process transformation, integrations, and user adoption considerations.
•Assess and optimize business workflows, CRM data models, security models, and integration approaches
across Salesforce and Dynamics 365 ecosystems.
•Identify opportunities to leverage GenAI, Agentic AI, Microsoft Copilot, autonomous agents, and AI-powered
workflow orchestration within CRM platforms.
•Define strategies for migrating Salesforce objects, metadata, customizations, workflows, reports, dashboards,
and integrations to Microsoft Dynamics 365.
•Evaluate feasibility, scalability, security, governance, and compliance considerations associated with the
proposed solution and migration roadmap.
•Collaborate with product managers, architects, developers, and business stakeholders to refine requirements
and solution designs.
•Provide guidance on CRM APIs, integration frameworks, automation capabilities, and industry best practices.
•Participate in architecture reviews, workshops, stakeholder discussions, and solution validation sessions.
•Review functional and technical documentation and provide actionable recommendations.
•Identify potential risks, dependencies, data quality challenges, and implementation bottlenecks associated with
migration and AI adoption initiatives.
Required Skills & Experience
•10+ years of hands-on experience working with Salesforce and Microsoft Dynamics 365 CRM solutions.
•Proven experience in end-to-end Salesforce to Microsoft Dynamics 365 migration projects.
•Strong understanding of CRM business processes, customer lifecycle management, case management, sales
automation, and workflow orchestration.
•Experience with Salesforce Sales Cloud, Service Cloud, and Microsoft Dynamics 365 modules such as Sales,
Customer Service, and Marketing.
•Expertise in CRM integrations, APIs, ETL tools, middleware platforms, and enterprise application
architecture.
•Hands-on experience with data migration strategies, data mapping, cleansing, reconciliation, and validation
activities.
•Good understanding of GenAI, Agentic AI frameworks, Large Language Models (LLMs), Microsoft Copilot,
AI agents, and conversational AI use cases within CRM ecosystems.
•Experience in solution reviews, enterprise architecture, business analysis, or technical consulting
engagements.
•Strong stakeholder management, communication, and presentation skills.
•Ability to translate business requirements into scalable CRM and AI-driven solutions.
Preferred Qualifications
•Salesforce Certifications and/or Microsoft Dynamics 365 Certifications.
•Experience implementing Microsoft Copilot Studio, Azure OpenAI, AI Agents, or Agentic AI solutions.
•Exposure to cloud platforms such as Azure or AWS.
•Experience working on large-scale digital transformation and CRM modernization initiatives.
•Familiarity with Retrieval-Augmented Generation (RAG), prompt engineering, and AI orchestration
frameworks.
Expected Deliverables
•GenAI and CRM solution review report with recommendations.
•Salesforce to Dynamics 365 migration assessment and roadmap.
•CRM process, integration, and data migration assessment.
•Gap analysis, risk identification, and mitigation recommendations.
•Best practice recommendations for Dynamics 365 implementation and AI enablement.
•Support during solution validation workshops, stakeholder reviews, and migration planning sessions.
DATAECONOMY IS a fast-growing Data & Analytics company with a global presence headquartered in Dublin, OH with office in Providence, RI, and an advanced technology center in Hyderabad, India. DATAECONOMY is well recognized and are known for their thought leadership, out-of-the-box products, cutting-edge solution accelerators, innovative business use cases, and cost-effective service offerings.
DATAECONOMY focus on these six core competencies believing that these competencies put together create nimble data enterprises enabling them for better data monetization.
DATA ENGINEERING: We provide services and solutions ranging from data plumbing through data consumption using traditional and modern technologies on either on-prem or cloud.
DATA SCIENCE: We put heavy emphasis on advanced visual analytics using graph technologies while leveraging the AI/ML/NLP to powerup the business use cases.
CLOUD: We have partnerships with major cloud vendors and direct MSA with AWS to deliver their native data platform solutions. A notable offering here is our Data Platform Modernization Suite for quick cloud enablement.
DATA GOVERNANCE: At DATAECONOMY, we look at Data Governance as foundation for Data Monetization beyond compliance. We focus on operationalize the data governance as treat that as an organizational behavioral transformation.
DATAOPS Over the last decade, organizations have matured with their overall DevOps, but we still see lot of white spaces when comes to the DataOps. Our solutions and services address these white spaces while quickly bringing the data organizations catching up to enterprise DevOs.
BLOCKCHAIN: momentum has slowed down in adopting the blockchain across industries as success requires tremendous amount of cross organizational collaborations. We are now working to take our Data Mesh, Data Exchange solutions to Blockchain hoping future is all about sharing and exchanging data amongst the organizations.
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