AI Transformation Engineer

83data

Gerrards Cross

On-site

GBP 90,000 - 130,000

Full time

8 hours ago

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Job summary

83data is building an AI-first operating platform to transform how the built environment operates. You will embed with operational teams, understand real work, map data and processes, and design solutions that unlock efficiency and trust across finance, people, revenue, and customer operations.

You will translate observations into the platform ontology, build connected models, and prototype rapidly. This role emphasizes delivering working AI-enabled tools while balancing governance, security and

Qualifications

Strong understanding of data modelling, APIs and integrations.
Experience with modern SaaS and enterprise platforms.
Ability to use low-code/no-code tools where appropriate.
Some coding ability to build or extend solutions when required.
Experience with LLMs, AI apps or agentic systems.
Understanding of security, permissions, governance and production reliability.

Responsibilities

Embed within cross-functional teams (Finance, People, Revenue, Customer, Operations, M&A) to map workflows and data.
Translate operational reality into the platform ontology and create a connected operational model.
Turn insights into working solutions: AI agents, automated workflows, decision-support apps, data products, integrations and controls.
Own architecture, data quality, security, permissions, reliability and documentation from prototype to production.

Skills

Data modelling

APIs & integrations

SaaS platforms

Low-code / no-code

Coding ability

LLMs / AI applications

Security & governance

Production reliability

Job description

This company is building technology that will help transform how the built environment operates. We’re also determined to apply that thinking internally. As the company grows, the way we operate matters enormously from how Finance closes and forecasts and how People recruits and supports teams, to how Sales manages opportunities, Customer teams serve customers, acquisitions are integrated, and leaders make decisions.

We want to redesign these processes for an AI-first world, with our technology platform central to that ambition. At the heart of the platform is an ontology and operational data layer that connects the people, organisations, projects, assets, suppliers, products, processes, transactions and decisions that make a business work. This creates a shared model that both humans and AI can reason over.

The role will embed directly into operational teams and solve important business problems using the platform. This is not a traditional Business Analyst, transformation consultant or internal IT role. You will combine the curiosity of a strategist, the discipline of an engineer and the pragmatism of an operator. You will sit alongside the people doing the work, understand how the business actually operates, identify where data, systems and processes create barriers, and design and build better ways of working.

You will own problems end-to-end:

The company will become one of the platform’s most demanding users. What we learn internally will directly improve the platform, patterns and playbooks used by customer-facing Forward Engineers. We intend to prove the model on ourselves.

Key Responsibilities:

Understand How the Business Really Works

Embed within functions including Finance, People, Revenue, Customer, Operations and M&A integration.
Spend time with the people actually doing the work rather than simply reviewing process documentation.
Understand workflows, decisions, bottlenecks, workarounds and sources of friction.
Map the systems and data supporting those processes.
Identify where information gets duplicated, delayed, lost or mistrusted.
Understand which decisions matter and what information people need to make them.
Challenge processes that exist because “that’s how we’ve always done it”.
Identify the small number of interventions capable of creating disproportionate operational value.

Model the Business Within the Platform:

Translate operational reality into the platform’s ontology by understanding the important entities, relationships, events, data, processes, permissions and decisions behind how the company operates.
Help create a connected operational model rather than another collection of disconnected systems and databases.
Build towards a trusted operational foundation that allows people, applications and AI agents to understand the company consistently.

Design and Build Better Ways of Working:

Turn operational understanding into working solutions, which may include:
AI agents and copilots
Automated workflows
Decision-support applications
Data products
Integrations
Approvals and controls
Forecasting tools
Internal applications
Exception-management tools
Knowledge systems
Prototype quickly, put solutions in front of users early and iterate based on evidence.
Know when to configure the platform, integrate existing systems or write code.
Redesign the work rather than simply automating an existing process.

Own the Journey from Prototype to Production:

Take solutions through the complete journey:
Take responsibility for architecture, data quality, security, permissions, reliability, testing and evaluation, controls and auditability, user experience, adoption, documentation and ongoing ownership.
Move quickly without creating future operational debt.

Build an AI-First Operating Company:

What should be automated
What should be augmented
Where human judgement remains essential
Where AI agents can act independently
What controls and approvals are required
How AI performance should be evaluated
How processes should change as technology improves
Focus on better decisions, faster execution and dramatically less operational friction, not simply “more AI”.

Measure Real Business Impact:

Establish a baseline, define success and measure the results of every deployment.
Measures may include:
Shorter cycle times
Improved forecast accuracy
Fewer manual interventions
Faster onboarding
Reduced cost-to-serve
Better management information
Faster acquisition integration
Improved employee experience
Increased organisational capacity

Build Capability, Not Dependency:

Build alongside operational teams, document what you create and establish runbooks and operating standards.
Train users and internal owners, transfer knowledge and create reusable components and patterns.
Develop people who can continue improving the system, ensuring the team is more capable than when you arrived.

Make the Company Its First Proving Ground:

Work closely with Product and Engineering to identify:
Where the platform accelerates transformation
Where the operational data layer needs to evolve
Where tooling creates friction
Which patterns should become platform capabilities
Which internal solutions could become customer accelerators
What customer-facing Forward Engineers need from the platform
Ensure every successful internal deployment makes the next customer deployment faster.
Feed learning from internal operations and customer deployments back into ongoing platform improvement.

Key Skills, Experience and Qualifications:

Engineering and Platform Fluency

Strong understanding of data modelling, APIs and integrations.
Experience working across modern SaaS and enterprise platforms.
Confidence using low-code and no-code tools where appropriate.
Sufficient coding capability to build or extend solutions when required.
Experience with LLMs, AI applications or agentic systems—or the aptitude to become highly capable quickly.
Understanding of security, permissions, governance and production reliability.

Operational Understanding:

Understanding of how businesses operate, with experience in areas such as:
Finance
People
Revenue Operations
Customer Operations
Supply Chain
Business transformation
Recognition that changing a process involves more than changing software. It also involves people, incentives, data, controls, behaviours and decisions.

Problem Solving:

Comfortable entering an ambiguous situation and creating clarity.
Able to move from identifying a broken process to defining:
The underlying problem
How the business should operate instead
The system or solution that should be built

Communication and Influence:

Able to work with everyone from frontline users to the Executive team.
Able to explain complex technical ideas simply and listen effective
Challenges constructively and can influence change without relying on organisational authority.

Values: