Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com

The Solutions Architect will drive the design and architecture for generative AI tools like Copilot, M365 Copilot, and ChatGPT Enterprise. You will report to the VP of Digital Workplace Architecture.

You'll have the opportunity to:

• Review and assess generative AI use cases, align them to existing and planned tools, and maintain a generative AI roadmap of capabilities.
• Ensure that Experian aligns generative AI tools to capabilities while considering generative AI tools' cost vs productivity gains.
• Define the technical requirements to onboard generative AI tools into Experian and lay out the process and framework for taking products from evaluation, to POC, valuation, and general availability.
• Partner with Experian's risk, legal, and compliance organizations to compile the necessary approvals, governance, and acceptable use statements for generative AI tools.
• Build strong business relations with business partners and technology peers within the generative AI domain.
• Produce generative AI tool recommendations that align with Experian use cases.
• Partner with key GenAI vendors such as Microsoft and OpenAI.
• Produce and communicate with senior technology leadership on generative AI strategy, and summarize and submit use cases to governing bodies for approval.
• Design solutions to mitigate risks associated with generative AI tools, including security controls, and address audit findings related to generative AI solutions.
• Ensure generative AI solutions comply with internal security, industry standards, and regulations.

Your background:

• Bachelor's degree in Computer Science, related technical discipline, or equivalent experience.
• 8+ years of related experience using end-user computing productivity tools.
• Familiarity with the Enterprise Microsoft portfolio (Active Directory, Azure, EntraID, InTune, M365), cloud platforms (AWS, Azure, Google Cloud), and containerization technologies (Docker, Kubernetes).
• Knowledge of software development methodologies.
• Ability to translate business needs into technical architecture requirements.

Benefits/perks:

• Great compensation package and bonus plan
• Core benefits, including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remotely, hybrid, or in-office
• Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.