Technical Specialist Analyst, VP

NatWest Group

Gurugram District

Sur place

INR 2 500 000 - 3 500 000

Plein temps

Il y a 9 jours

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Résumé du poste

NatWest Group is seeking a Technical Specialist Analyst at VP level in India. The role spans requirements analysis, design, coding, testing, deployment and operation, with Agile delivery across the solution lifecycle.

You will translate business needs into technical solutions, drive AI-powered products, and collaborate with engineers and architects to deliver scalable platforms. You will lead strategy, lifecycle management, and governance for AI initiatives, ensure compliance, and optimize

Qualifications

  • Experience leading AI-powered product strategy and lifecycle.
  • Ability to translate business requirements into technical solutions.
  • Experience in regulated environments.
  • Strong analytical and numerical problem-solving abilities.

Responsabilités

  • Analyze requirements across the solutions lifecycle from design to deployment.
  • Develop and deliver solutions with automated build, test and deployment patterns.
  • Propose innovative ideas and validate them through prototyping and experiments.
  • Collaborate with principal engineers and domain architects to align platform with business goals.
  • Evaluate metrics to continually improve AI performance and cost efficiency.
  • Define and apply AI governance, risk management, and compliance standards.

Connaissances

Product Owner
AI governance
LangGraph
RAG
Python
Vector databases
AI observability
Guardrails implementation

Formation

Bachelor's degree in computer science or related field

Description du poste

Join us as a Technical Specialist Analyst

  • This is a rewarding opportunity for a passionate and driven analyst to join our business
  • We’ll look to you to apply your specialist skill and knowledge to solve business problems and produce working solutions that will make a difference to our customers and the bank
  • Hone your technical expertise in a collaborative, agile and forward thinking team environment
  • We're offering this role at vice president level
What you'll do

As a Technical Specialist Analyst, you'll be working across the solutions lifecycle, from requirements analysis and design, through to coding, testing, deployment and operation. Working in the feature team, you'll be developing your expertise to help solve business problems presented to make sure our customers are getting the best experience possible.

By applying Agile methods, you'll be developing and producing solutions continually and rapidly that meet current non-functional requirements and are flexible to cope with future functional and non-functional needs.

You'll also be:

  • Producing innovative ideas and confirming these through experimenting and prototyping
  • Designing and developing solutions with a focus on the automation of build, test and deployment activities using executable patterns
  • Evaluating and analysing metrics to continually improve performance
  • Using, and contributing to the development of standard patterns
  • Liaising with principal engineers and domain architects to build an understanding of the wider platform and how it supports business objectives
The skills you'll need

We're looking for someone highly technical with experience of engineering disciplines such as analysis, design, testing and deployment. You’ll have a background in solving complex analytical and numerical problems, and will be able to rapidly and effectively understand and translate product and business requirements into technical solutions.

You'll also demonstrate:

  • Experience in leading the strategy, delivery, and lifecycle management of AI-powered products within a regulated environment, working across business, technology, and governance stakeholders
  • Experience as a Product Owner with ownership of product roadmaps, backlog prioritisation, discovery activities, and translating business requirements into actionable technical solutions
  • Expertise in agentic AI technologies including multi-agent frameworks, LangGraph, RAG, vector databases, MCPs, AI observability, guardrails, and Python-based development
  • Knowledge of AI governance, risk management, and regulatory compliance, including bias mitigation, transparency, explainability, and ethical AI practices
  • Experience in defining, measuring, and optimising product and AI performance metrics, including quality evaluations, hallucination rates, guardrail adherence, adoption, latency and cost
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