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AI Strategy, Transformation & Solutions Consultant
Embrace Software IncUKRemotefull_timeVerifiedPosted 17 Aug 2026
About the role
This is a remote position.
About Embrace
Embrace Software acquires and operates established vertical software businesses across multiple industries. Our Shared Services and Business Transformation teams work with portfolio companies to improve how they operate across Sales, Marketing, Customer Support, Finance, HR, and Operations.
AI is increasingly central to how we approach transformation. We are looking for someone who can understand a business problem, redesign the process, identify where AI can create meaningful value, and help turn that idea into a working solution.
About the Role
We are looking for an AI Business Transformation Consultant who combines strong business consulting and problem-solving skills with a practical understanding of AI, automation, and enterprise systems.
This is not primarily a developer or automation-engineer role.
You will work directly with business leaders and functional teams across our portfolio companies to understand operational challenges, identify root causes, redesign processes, and implement practical improvements using AI, automation, systems, and data.
A typical assignment may start with a problem such as:
- “Our support team spends too much time manually reviewing tickets.”
- “Our renewal and billing process involves multiple systems and spreadsheets.”
- “Management doesn't have visibility into our sales pipeline.”
- “We acquired a company and need to standardize its CRM and operating processes.”
- “Can AI automate this workflow without creating additional operational risk?”
Your responsibility is to take that problem from discovery → analysis → solution design → implementation → adoption → measurable outcome.
What You Will Do
Business Consulting & Process Transformation
- Work with business leaders and functional teams to understand operational problems, requirements, and priorities.
- Conduct discovery sessions and translate loosely defined problems into clear business requirements.
- Map current-state processes and identify bottlenecks, manual work, duplicated effort, data gaps, and control issues.
- Perform root-cause analysis rather than simply automating the existing process.
- Design practical future-state processes and operating models.
- Evaluate different solution approaches and recommend the right combination of process, AI, automation, and systems changes.
- Define success metrics and measure whether implemented solutions deliver the expected business value.
AI-Led Business Transformation
- Identify practical AI opportunities across Sales, Marketing, Support, Finance, HR, and Operations.
- Evaluate where AI should — and should not — be used within a business process.
- Design AI-enabled workflows for areas such as document analysis, customer support, reporting, research, knowledge management, CRM operations, and internal productivity.
- Work hands-on with tools such as ChatGPT, Claude, Gemini, Microsoft Copilot, or similar AI platforms.
- Prototype AI solutions quickly and validate them with business users.
- Understand AI limitations, human-review requirements, data/privacy considerations, and operational risks.
- Stay current with new AI capabilities and translate them into practical business use cases.
Systems, Automation & Implementation
- Translate business requirements into system configurations and workflows.
- Improve and implement CRM, Helpdesk, ERP, HRMS, project management, and reporting systems.
- Build or configure workflow automations using tools such as n8n, Make, Zapier, Power Automate, or similar platforms where appropriate.
- Understand APIs, integrations, system dependencies, and data flows well enough to design solutions and work effectively with technical teams.
- Coordinate testing, UAT, data validation, documentation, rollout, and user adoption.
- Troubleshoot implementation issues and drive projects through to completion.
Data & Business Insights
- Analyze operational and business data to identify trends, gaps, and improvement opportunities.
- Build management reports, KPI frameworks, and dashboards.
- Use Excel confidently for business analysis, including Pivot Tables, XLOOKUP, formulas, data validation, and structured analysis.
- Convert data into recommendations that leadership can act
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