AI & Data Analytics Consultant

Posted 4 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Fintech
The Role
Serves as a strategic liaison between business leaders and data analytics teams. Identifies AI and analytics opportunities, translates business challenges into scalable solutions, develops business cases, facilitates stakeholder workshops, and promotes adoption of predictive analytics, machine learning, reporting, and intelligent workflows. Partners with technical teams to define requirements, success metrics, and implementation roadmaps while influencing executive stakeholders and driving measurable business value.
Summary Generated by Built In

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 & Leadership


  • Influence senior leaders and drive alignment around analytics initiatives.
  • Communicate complex analytical concepts in clear, business-friendly language.
  • Manage a pipeline of AI and analytics opportunities across business units.
  • Facilitate prioritization of initiatives based on strategic value and feasibility.

Innovation & Market Awareness


  • Monitor emerging AI technologies, analytics trends, and industry best practices.
  • Identify innovative approaches that can create competitive advantage.
  • Recommend new methodologies, tools, and capabilities to enhance the organization's analytical maturity.

Required Qualifications:


Education


  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Economics, Business, or a related discipline.
  • Master's degree preferred.

Experience


  • 7+ years of experience in analytics consulting, business intelligence, data science, strategy consulting, or related fields.
  • Experience engaging with senior leadership and executive stakeholders.
  • Proven track record delivering business value through analytics and technology initiatives.
  • Experience translating business requirements into analytical or AI solutions.

Technical Knowledge


Strong understanding of


  • Artificial Intelligence and Generative AI
  • Machine Learning concepts and applications
  • Predictive and descriptive analytics
  • Data visualization and storytelling
  • Business Intelligence platforms (Power BI, Tableau, etc.)
  • Data warehousing and modern analytics architectures
  • Statistical analysis and forecasting techniques
  • Cloud-based analytics platforms

Critical Skills


Business & Consulting Skills


  • Executive presence and influencing skills 
  • Strategic thinking 
  • Stakeholder management
  • Business case development
  • Facilitation and workshop leadership
  • Change management

Communication Skills


  • Outstanding presentation and storytelling abilities
  • Ability to explain technical concepts to non-technical audiences
  • Strong written and verbal communication skills

Analytical Skills


  • Problem-solving mindset
  • Data-driven decision-making
  • Ability to connect business outcomes with analytical solutions
  • Commercial and operational acumen

Success Measures


Success in this role will be measured by:


  • Growth in AI and analytics adoption across the business
  • Number and quality of business opportunities identified and delivered
  • Measurable business value generated from analytics initiatives
  • Stakeholder satisfaction and engagement
  • Increased use of predictive and AI-driven decision-making
  • Development of a strong pipeline of innovative analytics use cases
  • Improved awareness and understanding of Data Analytics capabilities across leadership teams

Ideal Candidate Profile


The ideal candidate is a hybrid of management consultant, business strategist, data analyst, and AI evangelist. They are equally comfortable presenting to executive leadership, facilitating a workshop with business teams, and working with technical experts to convert ideas into scalable AI and analytics solutions. They possess a passion for innovation and a strong ability to turn data and AI capabilities into tangible business outcomes.


The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.


Accessibility

We are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support.

Total Rewards

U.S. Bank is committed to fair, equitable, and transparent compensation practices in line with local regulatory and legal requirements. Our total rewards approach is designed to attract, retain, and support top talent while ensuring equal pay for work of equal value.


We offer a market-competitive compensation package that includes:

  • Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.

  • Performance-based incentives for eligible employees (as defined by relevant plan rules), awarded through transparent, objective criteria that recognize both individual and company performance.

  • Inclusive equitable benefits that are accessible to all employees and focused around our 3 main pillars of financial wellbeing, health & wellness).

  • Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.

  • Employee recognition programs that celebrate achievements and milestones for all.


We regularly review our compensation and benefits to ensure they remain competitive, inclusive, and responsive to employee needs and market trends. Further details of the compensation package will be provided upon application.

We encourage candidates to explore the full value of our offer, including monetary and non-monetary benefits, at Employee benefits and development | U.S. Bank | Elavon.

 

Closing Date

Posting may be closed earlier due to high volume of applicants.


We aim to provide timely updates throughout the process and encourage early applications to ensure consideration.

Skills Required

  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Economics, Business, or a related discipline
  • Master's degree in a related discipline
  • 7+ years of experience in analytics consulting, business intelligence, data science, strategy consulting, or related fields
  • Experience engaging with senior leadership and executive stakeholders
  • Proven track record delivering business value through analytics and technology initiatives
  • Experience translating business requirements into analytical or AI solutions
  • Strong understanding of artificial intelligence and generative AI
  • Strong understanding of machine learning, predictive analytics, and descriptive analytics
  • Knowledge of data visualization, storytelling, and business intelligence platforms such as Power BI or Tableau
  • Knowledge of data warehousing, modern analytics architectures, statistical analysis, forecasting, and cloud-based analytics platforms
  • Executive presence, strategic thinking, stakeholder management, business case development, and workshop facilitation skills
  • Outstanding presentation, storytelling, written, and verbal communication skills

US Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about US Bank and has not been reviewed or approved by US Bank.

  • Retirement Support — The package pairs a pension with a matched 401(k), strengthening long‑term financial security. Retirement programs and other financial safeguards are presented as comprehensive.
  • Leave & Time Off Breadth — Paid vacation, sick time, numerous holidays, and dedicated volunteer hours provide meaningful time away. Additional time off with tenure and options to expand PTO bolster flexibility.
  • Healthcare Strength — Medical, dental, and vision coverage with HSA/FSA options and wellness resources are described as robust. Health insurance is characterized as top‑notch in multiple descriptions.

US Bank Insights

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The Company
HQ: Minneapolis, MN

What We Do

We believe in putting people first, and our dedication to making ethical decisions and doing the right thing is at the heart of what we do. We're proud to be named by Ethisphere as a 2018 World's Most Ethical Company.

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