At a Glance
- Tasks: Lead global HR analytics, driving innovation and delivering impactful data-driven strategies.
- Company: Join American Express, a leader in innovation and colleague experience.
- Benefits: Enjoy competitive salaries, flexible working, and comprehensive health benefits.
- Other info: Be part of a culture that values well-being and continuous improvement.
- Why this job: Make a real impact on colleague experiences with cutting-edge analytics and technology.
- Qualifications: Strong data science expertise and leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
The Colleague Experience Group (CEG)—Amex’s Human Resources function is responsible for all colleague-related benefits and programs globally, including career growth and development, leadership and learning, total rewards and well-being, recruitment, labor relations, colleague servicing, and more. CEG’s vision is to provide the best colleague experience every day to fuel growth, and they are committed to ensuring all of Team Amex has the resources and support they need to be and deliver their best.
This Director of Colleague Data Science & Analytics sits within the Colleague Experience Group (CEG) function and reports to the Vice President, Colleague Data Office. The Director will lead the global HR analytics function, delivering insightful analytics with an eye on risk management and process efficiencies. This is a highly visible role with enterprise-wide impact, requiring a leader who can manage various stakeholder demands.
This role requires expertise in HR analytics, experience interpreting stakeholder requirements and delivering valuable analysis. The Director will drive innovation, re-think existing processes, and leverage emerging technologies. Success will require strategic vision, hands-on technical expertise and a relentless focus on execution to deliver scalable analytics solutions that drive business impact.
Responsibilities- Champion a forward-thinking analytics strategy that leverages advanced methodologies, automation frameworks and emerging technologies (e.g. AI); drive innovation in HR analytics.
- Translate business questions into data-driven strategies and scalable analytical solutions that support decision-making, workforce planning and colleague experience initiatives.
- Drive operational excellence in day-to-day delivery of recurring and ad-hoc analytics requests, with attention to quality, timeliness and excellence.
- Anticipate and manage evolving team demands, guiding the organization toward consistent operational success and customer support excellence.
- Identify gaps in data availability/quality and influence partner teams to mitigate.
- Lead and coach a team of technical experts to deliver innovative solutions. Provide hands-on leadership in technical development, including Python scripting, data manipulation and workflow automation.
- Respond to emerging needs, listening to stakeholders and influencing partner teams to deliver automated/self-serve solutions.
- Collaborate with HR business partners, Technology, Product and other stakeholders to identify opportunities for data-driven improvements in HR processes and programs.
- Strong technical expertise in data science, including proficiency in data analysis, scripting and automation.
- Experience with data visualization tools (e.g., Tableau, Power BI) and data platforms (e.g., SQL, cloud environments).
- Experience applying predictive modelling, machine learning or GenAI capabilities.
- Experience building a team of analytical experts by providing technical guidance and coaching while enabling them proactively and independently solve complex business questions.
- Ability to balance strategic thinking with hands-on execution in a fast-paced and evolving environment.
- Leadership experience, fostering a culture of experimentation and continuous improvement, bringing new ideas into practical, business-ready solutions.
- Track record of driving innovation while maintaining operational excellence.
- Exceptional communication and influencing skills, with the ability to translate complex analyses into clear business insights and recommendations for senior stakeholders.
Employment eligibility to work with American Express in the UK is required as the company will not pursue visa sponsorship for these positions.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviours and an unwavering commitment to back our customers, communities and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security and service.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones’ physical, financial and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- Support for financial well-being and retirement
- Comprehensive medical, dental, vision, life insurance and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centres staffed with nurses and doctors (depending on location)
- Free and confidential counselling support through our Healthy Minds programme
- Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
Director, Colleague Data Science & Analytics employer: American Express
American Express is an exceptional employer that prioritises the well-being and growth of its colleagues, offering a competitive salary, comprehensive benefits, and a flexible working model tailored to individual needs. With a strong commitment to innovation and a culture that fosters continuous improvement, employees are empowered to drive impactful analytics solutions while enjoying ample opportunities for career development in a supportive environment. Located in the UK, American Express provides a unique blend of professional challenge and personal support, making it an ideal workplace for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Director, Colleague Data Science & Analytics
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Amex on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Amex’s values and recent projects. Show us that you’re not just another candidate; you’re genuinely interested in how you can contribute to their mission.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've used data science to drive innovation and improve processes. We love hearing about real-world impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Amex.
We think you need these skills to ace Director, Colleague Data Science & Analytics
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in HR analytics and data science. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!
Showcase Your Technical Skills:Since this role requires strong technical expertise, be sure to mention your proficiency in data analysis, scripting, and any tools like Tableau or SQL. We love seeing candidates who can demonstrate their hands-on experience with these technologies.
Communicate Clearly:Your ability to translate complex analyses into clear insights is crucial. Use straightforward language in your application to convey your ideas effectively. Remember, we’re looking for someone who can communicate well with various stakeholders!
Apply Through Our Website:We encourage you to submit your application through our official website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at American Express
✨Know Your Data Science Inside Out
Make sure you brush up on your data science skills, especially in areas like predictive modelling and machine learning. Be ready to discuss how you've applied these techniques in previous roles, as this will show your hands-on expertise and strategic thinking.
✨Understand the Colleague Experience Group
Familiarise yourself with the Colleague Experience Group's mission and values. Think about how your experience aligns with their goal of enhancing colleague experiences and be prepared to share specific examples of how you've driven innovation in HR analytics.
✨Prepare for Stakeholder Engagement
Since this role involves managing various stakeholder demands, practice articulating how you've successfully translated complex analyses into actionable insights for senior stakeholders. Highlight your exceptional communication skills and your ability to influence decision-making.
✨Showcase Your Leadership Style
Be ready to discuss your leadership approach, particularly how you've built and coached teams of analytical experts. Share examples of how you've fostered a culture of experimentation and continuous improvement, as this is crucial for driving operational excellence.
