AI Manager

At Equifax, we believe in empowering individuals to achieve their true potential. If you're driven to chart new paths, develop advanced skills, collaborate with brilliant minds, and make a significant impact in the field of Artificial Intelligence, we want to hear from you.

This is a unique opportunity to join Equifax as an AI Manager in London, playing a pivotal role in driving our UK&I AI strategy. You will leverage your deep technical skills in AI and machine learning, coupled with strong programming abilities to manage and derive insights from complex data sources. As a strategic leader, you will translate the Equifax vision into concrete plans and actions, fostering innovation and pushing the boundaries of what's possible with big data.

What will you do:

1. Collaborate with the AI UK&I Director to execute the strategic vision, ensuring alignment with business objectives and delivering impactful AI outcomes.
2. Contribute to the ongoing development and refinement of the UK&I AI strategy, identifying key opportunities and translating them into actionable plans.
3. Actively participate in the developing and promotion of the center of excellence for generative and predictive AI, neural networks, and natural language processing, fostering a culture of innovation and continuous learning.
4. Oversee the allocation and management of AI resources, ensuring alignment with organizational objectives.
5. Lead the full lifecycle of AI projects, from conception to implementation, ensuring timely delivery and adherence to budget.
6. Provide hands-on project leadership and mentorship to the AI team, fostering a collaborative and high-performing environment.
7. Manage teams that lead multiple programs of solutions that generate significant Equifax revenue.
8. Facilitate stakeholder collaboration to support the development of predictive models, risk assessments, fraud detection, recommendation engines, etc., influencing decisions on the solution and enabling teams to execute.
9. Lead the development and implementation of advanced AI models and proofs of concept, leveraging cutting-edge technologies like Vertex AI, Gemini models, and BQML.
10. Utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects.
11. Collect, analyze, and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise.
12. Lead the analytical strategy on critical technical capabilities.
13. Evaluate new data sources, provide recommendations on the value of data sources, and design code to improve the productivity of Equifax, enhance and update code where needed. Ensure the quality of the code is intact.
14. Architect multiple innovative solution components leveraging business and technical expertise.
15. Perform as lead technical data scientist for multiple technical and business domains.
16. Evaluate the technical work of experienced data scientists, guiding them on deliverable quality and accuracy.
17. Collaborate with product managers, analysts, and stakeholders to develop AI-driven solutions that address business challenges and drive growth.
18. Package, summarize, visualize, and perform storytelling on analytical findings and results for management and senior business users.
19. Communicate results to senior management and external stakeholders, able to communicate the strategic impact of the work. Partner across multiple functional units to execute goals.
20. Ensure compliance with Equifax's AI governance and risk mitigation policies, maintaining ethical AI practices and fulfilling all governance requirements.
21. Maintain a detailed log of AI ventures, documenting both achievements and challenges to foster a culture of continuous improvement and knowledge sharing.
22. Conduct resource assignment and weigh multiple priorities to drive the right business decisions.

The Ideal Candidate:

1. Possesses a strong passion for AI and a proven track record of delivering impactful AI solutions, demonstrating exceptional technical skills in AI and machine learning, including programming proficiency (Python, SQL, NoSQL) and the use of modern development tools (e.g., GitHub, Copilot, Vertex AI, BQML) for data manipulation and analysis.
2. Has experience or exposure to ML engineering, MLOps, and FinOps, demonstrating an understanding of the challenges and best practices in deploying and managing AI solutions in a production environment.
3. Exhibits strong project management and organizational skills.
4. Demonstrates strong leadership skills, with a proven ability to motivate and guide teams to achieve ambitious goals.
5. Is a strategic thinker with the ability to translate vision into actionable plans.
6. Effectively managed AI project lifecycles, demonstrating a track record of successful deployments.
7. A collaborative team player who prioritizes collective success and readily adapts to evolving project needs, fostering a supportive and integrated team environment.
8. Possesses excellent communication skills, with the ability to effectively convey complex technical information to both technical and non-technical audiences.

What experience you need:

1. BS degree in a STEM major or equivalent discipline; Master’s Degree strongly preferred.
2. Strong related experience demonstrating leadership capabilities and/or functioning as a team lead/supervisor.
3. Experience with SQL and Python (commercial or academic).
4. Extensive experience in AI, machine learning, and data science.
5. Proven track record of leading and managing AI projects and teams.
6. Strong understanding of cloud-based AI platforms, such as Google Cloud's Vertex AI.
7. Experience with generative AI models and technologies.
8. Excellent communication, collaboration, and leadership skills.
9. Familiarity with regulatory and compliance requirements related to AI.
10. Cloud certifications strongly preferred.
11. Additional role-based certifications may be required depending upon region/BU requirements.

What could set you apart:

1. A Master's or Ph.D. in computer science, artificial intelligence, or a related field.
2. Experience in the financial services or credit reporting industry.
3. Publications or presentations on AI-related topics.
4. If you're a driven AI professional seeking to make a real difference, join us at Equifax and power your possible.
5. Track record of implementing impactful AI projects.

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