Manager - Data Analytics

The Enterprise Digital Experimentation & Analytics (EDEA) team leads end-to-end digital customer and prospect analytics at American Express. With a focus on digitization, innovation, and AI-driven insights, we power acquisition, enhance servicing, and elevate membership experiences. Within EDEA, the Digital Innovation & Product Analytics team drives analytics to fuel strategy, innovation, and scalable digital solutions across journeys like search, referral, chat servicing, digital wallets, and identity.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, 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.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

About the Role

We are looking for a manager to drive the Analytics Innovation & Scale agenda—delivering AI-first, self-serve, and enterprise-scale analytics. This leader will drive digital data strategy, and insights that influence product, marketing, and technology decisions.

Key Responsibilities:

• Lead high-performing analytics team to design, build, and deliver advanced analytical solutions.

  
  

• Partner with business, marketing, product, and technology leaders to drive product optimization and digital innovation.

  
  

• Drive the digital data strategy, enabling AI-first, self-serve, and scalable analytics capabilities.

  
  

• Translate complex digital activity data and American Express closed-loop data into actionable insights that influence enterprise decisions.

  
  

• Drive development and implementation of new analytical features, tools, and data capabilities.

  
  

• Build deep expertise in enterprise digital product capabilities to ensure insights are strategic, relevant, and impactful.

  
  

Qualifications:

• 7 + years of experience required
• Proven experience in digital product or innovation-focused environments.
  Strong track record in shaping and executing data strategy at scale.
• Expertise in digital data, advanced analytics, and applied AI.
• Ability to influence stakeholders across business, marketing, product, and technology.
• Excellent communication and storytelling skills, with the ability to translate complex analytics into clear business recommendations.

Academic Background:

• Graduate or Post Graduate degree in Engineering, Business, Finance, Economics, Statistics or a related field from a premier institute 
• Functional Skills/Capabilities:
  Awareness of AI tools and Prompt Engineering.
  Knowledge of Analytics tools languages like SQL, Python, & large and complex data sets manipulation.
  Experience of partnering with Technologies to create scaled analytical products.

Knowledge of Platforms:

• Chat GPT and Prompt Engineering, Big Data Platform, Digital Tracking tools like Omniture/Adobe.
• Awareness of paid media measurement systems, methodologies, and basic processes

Enterprise Leadership Behaviors

• Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective 
• Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential 
• Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage.