AI Design Analyst at WNS Global Services

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Design, Copilot Solutions, Use Case Assessment, Business Analysis, Workflow Design, Prompt Engineering, Ethical AI, Data Readiness, Process Mapping, User Experience, Stakeholder Management, Risk Assessment, LLMs, Power Platform, Azure AI Fundamentals, Responsible AI

Industry

Business Consulting and Services

Description

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence. We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 66,000+ employees. Job Description Purpose of the role: To assess, shape and design AI and Copilot solutions, acting as the critical bridge between business needs and technical delivery. The role ensures use cases are valuable, feasible, ethical and aligned to AI strategy, governance and adoption readiness. Key Accountabilities Role Specific Accountabilities Assess and shape AI and Copilot Use Cases aligned to strategic business objectives, shaping them into well‑defined proposals with clear value hypotheses and measurable success criteria. Engage with business teams to conduct deep analysis of business problems, workflows, processes and decision points to determine where AI can improve outcomes, efficiency or customer experience. Design AI‑enabled workflows, prompt patterns, user interactions and human‑in‑the‑loop models that maximise safety, transparency and user trust. Assess solution feasibility by evaluating data readiness, technical constraints, ethical considerations, compliance requirements and operational impacts. Map end‑to‑end processes, decision points, data dependencies and required human oversight. Assess feasibility, data readiness, ethical considerations and AI‑specific risks. Design AI‑enabled workflows, prompts and user experiences for Copilot scenarios. Support experimentation, prototyping and MVP definition with delivery teams. Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all designs Support experimentation and prototyping by defining MVP scope, evaluation criteria, testing parameters and adoption-readiness indicators. Engage with colleagues across the business to capture user perspectives, refine user needs, and ensure solutions align to real operational challenges and behaviours. Ensure responsible AI principles are embedded from design, including explainability, traceability, fairness, appropriate safeguards and risk‑informed checks. Provide structured analysis to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums. Collaborate with teams to ensure designs are implementable, sustainable and aligned to enterprise architecture. Maintain a library of design artefacts, patterns and re‑usable assets to support repeatability and uplift design maturity across the AI Foundry. Managing escalations supporting the wider Data & AI Leadership team. Shared Accountabilities Translate Divisional priorities into plans and deliverables to deliver overall Group strategic priorities Build the capability & capacity of functional resources to drive sustained commercial success Interpret & communicate the priorities for the Function, motivating and developing a high performing team Own functional priorities, applying specialist expertise to put the customer at the heart of everything and drive a profitable business Initiate and develop critical external and internal relationships which create value, collaborating to deliver commercial and customer priorities Uphold corporate legal & regulatory responsibilities Implement and manage transformation activity & harness innovation to create a high performing & sustainable business Qualifications Skills, Knowledge and Experience Functional/Technical (Role Specific) Essential Higher education qualification (or equivalent experience) in Ethics, Law, Risk Management, Social Sciences, Data/Computer Science or relevant field Proven experience working in digital, data or AI programmes in complex or regulated environments. Skilled at mapping processes, decision flows and user journeys to identify where AI, automation or Copilot can add value. Understanding of core AI concepts including LLMs, prompt engineering, automation, decision support and responsible AI. Experience assessing data quality, readiness, lineage and feasibility for AI‑enabled solutions. Ability to design end‑to‑end AI workflows including prompts, orchestration, guardrails and human‑in‑the‑loop models. Skilled in user research, facilitation, co‑design and requirements‑gathering workshops. Working knowledge of Copilot and Power Platform as well as Service Design/UX. Working knowledge of Microsoft Azure AI Fundamentals Excellent stakeholder management and communication skills, including senior‑level engagement. Commercial awareness and a value‑driven mindset. Familiarity with responsible AI and risk‑aware delivery practices. Familiarity with AI ethics, fairness, transparency and accountability principles Ability to translate complex technical and regulatory concepts into practical guidance Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise Ability to be flexible and adaptable with the pace of technology and AI change Additional Information Sector (desirable) Understanding of financial services industry, markets and competitors Understanding of how financial services organisations operate and the associated regulatory environment, or other regulated industries Awareness of the Mutual Sector and the needs and interests of Members

Responsibilities

The role involves assessing, shaping, and designing AI and Copilot solutions, acting as the bridge between business needs and technical delivery to ensure use cases are valuable, feasible, and ethical. Key accountabilities include defining value hypotheses for use cases, designing AI-enabled workflows and prompt patterns, and ensuring responsible AI principles are embedded in all designs.