AI-Driven Data Transformation Consultant for R&D

Sr2 Rec Ltd; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Sr2 Rec Ltd in London seeks a Data Transformation Consultant to lead initial discovery and future-state design for a major R&D transformation in a global life sciences organisation.

You will map processes, data flows and dependencies, employing AI-enabled analysis to accelerate discovery and reduce SME reliance. The role is hybrid with 1 day per week in London for an initial 5-month term, with extension potential.

Qualifications

• Senior-level consulting experience delivering transformation programmes in life sciences (R&D preferred).
• Demonstrated ability to apply AI to accelerate discovery or support transformation delivery.
• Strong business-analysis skills: requirements gathering, process and data-mipeline mapping.

Responsibilities

• Plan and lead discovery and future-state design sprints across R&D workstreams.
• Coordinate subject-matter experts, process owners and programme stakeholders.
• Use AI-enabled approaches to analyse documentation and create initial current-state process maps.
• Map processes, data flows, systems and dependencies, identifying gaps, duplication and inefficiencies.
• Design future-state processes, data flows and operating models, including automation opportunities.
• Facilitate workshops and validate findings, assumptions and recommendations with stakeholders.
• Maintain delivery plans and manage risks, RAID, and progress reporting.

Skills

Consulting experience

AI-enabled transformation

Business-analysis

Project-management

Process redesign

Stakeholder management

Workshop facilitation

Job description

Sr2 Rec Ltd in London seeks a Data Transformation Consultant to lead initial discovery and future-state design for a major R&D transformation in a global life sciences organisation.

You will map processes, data flows and dependencies, employing AI-enabled analysis to accelerate discovery and reduce SME reliance. The role is hybrid with 1 day per week in London for an initial 5-month term, with extension potential.