Senior Manager - Tech Strategy - Data Products

American Express•New York, NY

About The Position

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. As part of Team Amex, you'll experience this 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. The Workforce Strategy (WFS) team within the Technology Business Enablement (TBE) organization helps American Express align its technology workforce with enterprise needs. The team serves as a strategic advisory partner to senior technology leadership providing Enterprise Technology Services (ETS), ensuring the right talent is available at the right place, time and within optimized global cost structure to support technology portfolio demand. WFS collaborates with ETS Portfolio, ETS Finance, Talent Acquisitions, Global Real Estate, Technology Vendor Management and other enterprise partners to deliver forward-looking, data-driven insights on workforce planning, organizational design, and location strategy - enabling coordinated decisions that support scalable growth and long-term business outcomes The Sr. Manager, Tech Strategy – Data Products of WFS Team will play a key role in establishing future ready WTS Workforce data foundations that power analytics, AI, and intelligent decision-making across Enterprise Technology Services (ETS). This role will combine strategic thinking with product ownership to shape the vision, roadmap, and lifecycle of data products that deliver measurable business value. How will you make an impact in this role? The Sr. Manager, Tech Strategy – Data Products will be responsible for defining the vision, strategy, and roadmap for a portfolio of ETS workforce data products, translating business needs into high-value product capabilities that accelerate analytics, AI, and transformation. The role will lead product discovery, prioritize capabilities and measure product success through adoption, customer outcomes, and business value. By influencing cross-functional stakeholders and partnering across business and Technology, this role will help shape the ETS workforce data product portfolio and position data as a strategic asset that enables future-ready capabilities across ETS.

Requirements

MBA or equivalent qualification preferred; Bachelor’s degree in Business, Computer Science, Engineering, Data Science, or a related field preferred
Strong understanding of data product management principles, product lifecycle management, and customer-centric product development
Knowledge of modern data ecosystems, including cloud data platforms, APIs, analytical data modeling, semantic layers, metadata, data governance, and data quality principles
Understanding of how data products are modeled, transformed, and consumed for analytics and reporting, with sufficient technical fluency to effectively partner with Analytics Engineering and Data Engineering teams
Understanding of AI-enabled products, machine learning, Generative AI, and how trusted data products enable intelligent decision-making and AI-driven experiences
Knowledge of AI governance, responsible AI principles, and data privacy considerations to support scalable and compliant AI adoption
Experience defining product vision, strategy, and roadmaps for enterprise data products, platforms, or digital capabilities
Experience identifying business opportunities and translating customer needs into scalable data product strategies that deliver measurable business value
Experience developing business cases, investment recommendations, product value propositions, and success metrics to support strategic decision-making
Demonstrated ability to leverage data products to enable analytics, AI, and intelligent automation across the enterprise
Experience using customer insights, product analytics, and market trends to prioritize product investments and guide product evolution
Experience partnering with Analytics Engineering and Data Engineering teams to translate business and analytical needs into scalable, reusable data products and capabilities
Proven ability to influence senior stakeholders and build alignment across Business, Technology, Analytics Engineering, Data Engineering, Architecture, Data Governance, and Analytics teams
Experience leading cross-functional initiatives within complex, matrixed organizations and driving outcomes through influence rather than direct authority
Experience evaluating emerging technologies, AI capabilities, and industry trends to identify opportunities for innovation and competitive advantage
Strong analytical and strategic problem-solving skills with the ability to translate complex business challenges into product opportunities
Experience working in Agile product environments and partnering with Engineering teams to successfully deliver strategic product outcomes

Responsibilities

Lead Data Products: Own the vision, strategy, roadmap, and lifecycle for a portfolio of ETS workforce data products, ensuring they deliver measurable business value and enable analytics, AI, and intelligent decision-making.
Serve as the voice of the customer, translating business needs into scalable, trusted, and reusable data products
Serve as a key liaison to Analytics Engineering, connecting data product strategy and business requirements with analytical data models, capabilities, and consumption needs to ensure products are analytics-ready and reusable at scale
Drive Data Product Strategy & Prioritization: Lead product discovery and define product priorities based on customer insights, business value, enterprise objectives, and market trends.
Develop business cases, define success metrics, and continuously evolve the product roadmap based on adoption, customer feedback, and changing business needs
Partner to Deliver Outcomes: Partner with Data Engineering, Architecture, Data Governance, and Program Management to ensure product priorities are successfully delivered while balancing business needs, technical feasibility, and enterprise standards
Act as the connective point between customers, Analytics Engineering, and Data Engineering to align on requirements, data models, definitions, dependencies, and priorities across the end-to-end data product lifecycle
Drive adoption and value realization by measuring product performance and identifying opportunities for continuous improvement
Shape Enterprise Data Strategy: Influence TBE & ETS data strategy by identifying opportunities to expand and modernize the data product portfolio
Build trusted partnerships across Business and Technology, champion a product mindset, and position data as a strategic enterprise asset that accelerates AI, analytics, and digital innovation
Partner with Analytics Engineering and other data and technology teams to identify opportunities for reusable data models and capabilities that accelerate analytics, AI, and intelligent decision-making across the enterprise
Champion a product mindset and promote data as a strategic enterprise asset