DEVSECOPS CONSULTANT L1 (CONTRACT)
City: London
State/Province: Greater London
Responsibilities
- Provide solution/consultation to implement continuous exploration, continuous integration, continuous deployment, continuous testing, and continuous monitoring and release automation solutions for all sized products.
- Create reference architecture for DevOps build & release automation implementation.
- Conduct discovery workshops with customers to understand the product’s current state and unearth potential issues. Implement the DevOps / DevSecOps maturity assessment framework and create operating models for subsequent DevOps / DevSecOps adoption.
- Analyze emerging build and release automation trends. Define reusable solutions for build & release automation which can be leveraged across customers.
- Provide solutions to implement enterprise infrastructure automation solutions for environment provisioning.
- Help develop CI‑CD / DevOps Practices, Tools, platforms | Build solutions and frameworks / POVs for different technologies / domain.
- Implement and maintain DevOps / DevSecOps toolchains for both centralized and federated DevOps.
- Coach the team to ensure DevOps adoption. Coaches engineering teams on the new Ways of Working for improved Route to Live.
- Conduct training workshops on CI‑CD/DevOps and related roles to teams and other stakeholders.
- Help the customer to adopt to the defined engagement model to maximize the benefits.
- Anchor the DevOps / DevSecOps solution for large RFP’s. Participate in the practiuce sales initiative for opportunity shaping and closure.
Mandatory Skills
Agile DevSecOps Consulting.
Business Analyst – Central AI Capability (Commercial Operations)
Location: London – 3 days a week, Hybrid: 2-3 days per week from office (mandatory)
Role Purpose
The Business Analyst will be part of a central AI delivery team for Commercial Operations, acting as a shared capability across portfolios.
Core Skills & Responsibilities
- A. AI Use Case & Value Analysis (Mandatory)
- Partner with Commercial Operations teams to identify, frame, and prioritise AI use cases
- Translate business problems into clear AI ready use cases, including:
- Objectives and success criteria
- Expected business value (efficiency, risk reduction, speed, quality)
- Data inputs and constraints
- Support value tracking and benefits realisation, from initial hypothesis to post deployment review
- Ensure reuse of patterns, components, and learnings across portfolios
- B. Business Analysis & Delivery
- Elicit and document lean, outcome driven requirements suitable for AI and data products
- Map current state processes and identify automation and augmentation opportunities
- Define acceptance criteria focused on business outcomes, not just technical completion
- Support PoC to production transition by clarifying scope, risks, dependencies, and readiness
- Act as end to end BA owner for multiple AI initiatives in parallel
- C. Stakeholder & Governance Engagement
- Lead discovery workshops and structured problem framing sessions
- Act as a bridge between business, AI engineers, IT architecture, security, and governance
- Support consistent engagement with demand management, risk, and compliance processes
- Provide clear, concise updates to leadership on progress, value, and risks
- D. Tools & Ways of Working
- Experience working in Agile, iterative delivery environments with experimentation cycles
- Proficiency with:
- JIRA, Confluence
- Excel and SQL for analysis and validation
- Power BI / Tableau for value and performance tracking
- Familiarity with AI adjacent tooling and concepts (e.g. document automation, agents, NLP, LLMs) is a strong plus
- Experience supporting data or AI solutions moving into production is highly desirable
- Good to Have Skills
- AI / automation use case storytelling and value articulation
- Change management and adoption planning
- Business process modelling and service design
- Experience working in federated or centralised capability models
- Exposure to Commercial Operations or Trading & Supply environments
Qualifications
- Bachelor’s or Master’s degree in IT, Business Administration, Data, or related field
- Relevant certifications:
- CBAP / CCBA / PMI PBA
- Agile certifications (Scrum, SAFe, Kanban)
- Experience level aligned to JG 4 / JG 3 preferred (7+ years), with strong hands on delivery exposure
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