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AI & Data Analytics Consultant

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Us Bank
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential.

A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at—all from Day One.

As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology.

As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.

We actively uphold transparent and fair hiring practices that support individual opportunity, inclusive culture, and career mobility across all levels of our organisation.

We offer meaningful opportunities for growth, a culture of inclusion, and a strong commitment to transparency and integrity in everything we do.

Job Description

The AI & Data Analytics Consultant serves as the strategic liaison between business leaders and the Data Analytics organization. This role partners with stakeholders across the enterprise to understand business challenges, identify opportunities for data-driven decision making, and design solutions leveraging Artificial Intelligence, predictive analytics, descriptive analytics, and advanced reporting capabilities.

The successful candidate will act as an evangelist for the Data Analytics team, promoting the value of AI and analytics, shaping business demand, and translating complex business problems into practical and scalable analytical solutions. The role combines consulting, stakeholder management, innovation, and analytics expertise to drive measurable business outcomes.

Key Responsibilities:

Strategic Business Consulting
  • Build trusted relationships with senior leaders and business stakeholders across multiple functions.
  • Act as the primary point of contact for AI and analytics engagements.
  • Facilitate workshops and discovery sessions to understand business goals, pain points, and opportunities.
  • Translate business challenges into actionable analytics and AI use cases.
  • Develop business cases that demonstrate value, ROI, and expected outcomes.
AI & Analytics Evangelism
  • Champion the capabilities of the Data Analytics team across the organization.
  • Educate stakeholders on the potential of AI, machine learning, predictive analytics, descriptive analytics, and data visualization.
  • Identify opportunities where AI can improve decision-making, customer experiences, operational efficiency, risk management, or revenue growth.
  • Promote responsible and effective adoption of AI technologies.
  • Present success stories, use cases, and innovation roadmaps to executive audiences.
Solution Design & Opportunity Assessment

Evaluate and prioritize opportunities for:

  • Predictive analytics
  • Forecasting and risk modeling
  • Customer and behavioral analytics
  • AI-assisted decision support
  • Automation and intelligent workflows
  • Executive reporting and business intelligence
  • Collaborate with data scientists, analysts, engineers, and product teams to design fit-for-purpose solutions.
  • Define success metrics, business requirements, and implementation roadmaps.
Stakeholder Engagement &…
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