Overview
**Team Mission: **We are dedicated to leveraging artificial intelligence to transform core enterprise business processes, helping customers achieve breakthroughs in efficiency and innovation across sales, service, finance, supply chain, and other critical domains. The AI Business Process (AIBP) practice focuses on designing and deploying Agentic AI solutions that combine domain knowledge, process design, and responsible automation — turning business intent into scalable, measurable outcomes through modern AI platforms and enterprise integrations.
As an AI Business Process Consultant, you will serve as a business-oriented advisor within a collaborative team of architects and domain experts. This role emphasizes industry knowledge, business process expertise, and customer-facing consulting, while also building practical fluency in Microsoft’s Copilot and Power Platform technologies to help shape implementable solutions. Under the guidance of senior leads, you will help customers identify where Microsoft’s AI innovations — especially Agentic AI and custom AI Agents — can address real business challenges and drive measurable operational improvements.
Your work will span both pre-sales and delivery: leading business discovery workshops, mapping Agentic AI opportunities to industry-specific processes, articulating business value to executive stakeholders, and ensuring that delivered solutions achieve the business outcomes customers expect. This role is ideal for early-to-mid career professionals with strong business acumen, structured problem-solving, and curiosity about how AI is reshaping enterprise operations.
Responsibilities
**Industry & Business Process Expertise **
Develop and maintain deep knowledge of industry-specific business processes (e.g., lead-to-cash, case-to-resolution, procure-to-pay, record-to-report, plan-to-produce) across one or more verticals such as manufacturing, retail, financial services, or professional services.
Conduct business discovery workshops with customers to map current-state processes, identify inefficiencies, and uncover high-impact opportunities for AI-driven improvement.
Build industry-contextualized Agentic AI scenarios that speak directly to the business language of customer stakeholders — translating goals into agent workflows, decision logic, and outcome metrics (e.g., reduced cycle time, improved first-contact resolution, faster forecasting, higher service productivity).
Stay current with industry trends, competitive dynamics, and regulatory requirements relevant to target sectors, ensuring AI recommendations are practical and compliant.
**Business Value & Outcome Focus **
Champion a business-outcome-first approach: every AI initiative must tie to measurable KPIs such as revenue growth, cost reduction, customer satisfaction, or operational throughput.
Develop clear ROI models and business cases that articulate AI value in terms executives understand — not technology features, but business impact.
Track and report on post-deployment business metrics to demonstrate realized value and identify further optimization opportunities.
**Pre-Sales Engagement & Consultative Selling **
Lead business-focused customer conversations during pre-sales: understand strategic priorities, map pain points to AI use cases, and co-create solution visions with business decision-makers.
Collaborate with sales teams to craft compelling proposals grounded in industry benchmarks, peer success stories, and customer-specific business cases.
Support proof-of-concept (POC) demonstrations with a business narrative that connects technical capabilities to customer outcomes; collaborate with partners to expand AI adoption opportunities.
**Solution Design & Delivery Support **
Provide the business and process perspective in solution architecture discussions, ensuring agent designs align with how the customer operates, data realities, and adoption constraints — not just technical best practices.
Collaborate with technical architects to define requirements and success criteria, identify data sources and integration touchpoints, and validate security/compliance considerations so the solution is both valuable and buildable.
Using modern agent platforms, contribute to shaping AI Agents that mirror real business processes — translating domain knowledge into agent behavior, prompts, guardrails, workflow orchestration, and integration requirements; support evaluation (test cases, groundedness/quality checks) and produce clear design artifacts for delivery handoff.
**Change Enablement & User Adoption **
Own the business adoption strategy for delivered AI solutions: design adoption plans, define success metrics, and ensure new capabilities are embedded into daily operations.
Lead change management activities including stakeholder alignment, key user training, and business process transition planning.
Monitor adoption KPIs and business metric improvements; surface insights to drive continuous value realization.
**Continuous Learning & Industry Development **
Invest in industry knowledge and business domain expertise as a primary growth area — attend industry events, study vertical trends, and build a professional network in target sectors.
Stay current with Microsoft’s AI product roadmap and how new capabilities map to industry use cases.
Contribute reusable industry playbooks, business case templates, and process mapping assets to the team’s knowledge base.
Qualifications
Required/minimum qualifications
Bachelor's Degree in Computer Science, Engineering, Finance, Business, or related field AND 3+ years leadership experience in relevant area of business OR equivalent experience.
**Additional or Preferred Qualifications **
**Experience **
3–5 years of work experience in management consulting, business process consulting, or industry-focused roles involving enterprise operations (e.g., sales operations, customer service, finance, supply chain). Experience with CRM/ERP implementations from a business/functional perspective is highly valued.
Exposure to digital transformation, process improvement (e.g., Lean, Six Sigma), or automation initiatives preferred over purely technical backgrounds.
**Microsoft Copilot & Power Platform Foundations **
Foundational understanding of Agentic AI concepts (planning, tool/action orchestration, retrieval/grounding, conversation design, safety/guardrails) and how these map to business outcomes.
Awareness of Responsible AI and evaluation basics (privacy/security, groundedness, accuracy) to support trustworthy agent adoption.
Familiarity with Microsoft 365 Copilot and how it supports knowledge work scenarios; able to frame business use cases, adoption considerations, and value measurement.
Familiarity with Copilot Studio and the Power Platform (Power Apps, Power Automate, Dataverse, connectors) at a practical overview level — enough to participate in solution design discussions and collaborate with engineers.
**Business & Domain Foundations **
Solid understanding of enterprise business processes in at least one domain: sales & marketing (lead-to-cash), customer service (case management, contact center), finance (procure-to-pay, record-to-report), or supply chain (plan-to-deliver, inventory optimization).
Ability to conduct business discovery, document current-state processes, identify pain points, and articulate improvement opportunities in language that business stakeholders understand.
Familiarity with industry dynamics, competitive landscapes, and regulatory considerations in one or more sectors (e.g., manufacturing, retail, financial services, healthcare, professional services).
Demonstrated ability to build business cases and ROI models that connect technology initiatives to measurable business outcomes.
**Communication & Stakeholder Management **
Excellent written and verbal communication skills; able to lead business workshops, present to executive stakeholders, and translate between business and technical teams.
Strong consultative and facilitation skills — able to build trust with business leaders, guide discovery conversations, and influence without authority.
Comfort working across cross-functional teams including sales, consulting, engineering, and customer business units.
**Language **
- Proficient in English (reading, writing, speaking, and listening); able to write business proposals and communicate with global teams.
Preferred
Industry Depth**:** Prior consulting or operational experience in a specific vertical (manufacturing, retail, financial services, etc.) with the ability to speak credibly about industry-specific challenges, metrics, and best practices.
BizApps & Process Expertise: Hands-on functional experience with mainstream ERP/CRM platforms (e.g., SAP, Salesforce, Oracle, Dynamics 365) from a business analyst or functional consultant perspective. Experience with business process reengineering or transformation programs.
AI Awareness: Participation in AI or automation projects from a business/use-case perspective. Familiarity with Responsible AI principles. Understanding of how generative AI, conversational AI, or RPA can address specific business scenarios.
Copilot & Power Platform Hands-on: Practical experience with Copilot Studio and/or Power Platform (actions, connectors, authentication, Dataverse, environments/solutions, ALM, governance) and ability to support POCs with working prototypes.
Certifications: Relevant certifications such as Power Platform (PL-100/200/400 or equivalent), Copilot Studio credentials (if available), Dynamics 365 Functional Consultant (optional), PMP, Lean Six Sigma, or industry-specific credentials.
Soft Skills: Intellectually curious with a passion for understanding how businesses operate. Strong analytical and problem-solving skills. A consultative mindset that balances strategic thinking with practical execution.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations.**