Manager-Tech Strategy at American Express Company South Africa

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Platform Product Management, Strategic Leadership, Data Vision, Data Governance, AI-Ready Data Ecosystems, Semantic Layers, Metadata Strategy, Vector Stores, Knowledge Graphs, Distributed Data Platforms, GenAI Enablement, Data Modernization, Cloud Migration, Lakehouse Adoption, Data Democratization

Industry

Financial Services

Description

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. What is Amex’s objective for a Digital Workplace? The Digital Workplace Data & AI Platform, powered by GenAI capabilities, unifies data across the Digital Workplace, including end-user device data, collaboration tools, and colleague servicing platforms, along with key enterprise sources such as Information Security, Network, and Colleague Personas. The platform is designed to surface actionable insights and enable automated intelligence and data-driven features. Role Overview As Manager, Tech Strategy for the Data & AI Platform, you will transform raw enterprise data into trusted, contextualized, AI-ready knowledge. You will help define the data vision, governance, and architecture that power analytics, GenAI, and automation, delivering a best-in-class digital experience for American Express colleagues. This role blends data architecture, platform product management, and strategic leadership, with strong partnership across engineering, product, and business teams. Why This Role Matters Digital Workplace at American Express is at a critical inflection point. With GenAI, data is now the primary driver of intelligence, personalization, and productivity. This role is central to enabling scalable, governed data platforms that improve colleague experience, drive operational efficiency, and accelerate enterprise AI adoption. Key Responsibilities As a leader in Data & AI strategy, you will:Define and execute the enterprise data vision and roadmap for Digital Workplace platforms. Research and Design scalable, governed, AI-ready data ecosystems, including semantic layers, metadata strategy, vector stores, and knowledge graphs. Lead the design and delivery of distributed data platforms and pipelines, partnering closely with Engineering and Product teams. Enable GenAI, agentic AI, and advanced analytics through high-quality, contextualized, and vectorized data. Define measures of success for the platform, outcomes and track success metrics Champion data governance, metadata excellence, lineage, security, and semantic consistency aligned with enterprise standards. Drive modernization initiatives including cloud migration, real-time streaming, lakehouse adoption, and data democratization. Partner with senior leaders to align data strategy with colleague experience, productivity, and enterprise AI goals. Influence and communicate strategy, trade-offs, and value to technical and non-technical stakeholders. Evaluate market solutions and internal capabilities to shape a future-ready data and AI ecosystem. Contribute to the broader American Express Data Strategy, collaborating across technology domains. What We’re Looking For Proven experience delivering enterprise-scale Data & AI platforms. Strong product mindset with deep data architecture and platform expertise. Ability to influence across a large, complex organization. Passion for enabling AI, automation, and exceptional digital experiences for Professional Qualifications Proven experience leading technology strategy for remote and distributed product engineering teams. Working knowledge of data science concepts, including predictive modeling and advanced analytics. Experience partnering with industry vendors and technology providers to evaluate advanced data solutions, reference architectures, and market trends. Ability to collaborate with business and functional leaders to translate business objectives into data design patterns, domain models, and data product roadmaps. Demonstrated leadership in defining and executing data product strategies, including curated datasets, real-time data pipelines, semantic layers, dashboards, and predictive models. Strong understanding of data visualization and reporting, using tools such as Tableau, Power BI, or equivalent platforms. Hands-on software engineering is an advantage but not a requirement Experience enabling democratized, self-service data access through standardized APIs, data catalogues, and governed analytics platforms as well as implementing effective processes for our users Expertise in establishing enterprise data governance frameworks, including data quality, metadata management, lineage, and observability. Strong knowledge of regulatory, compliance, and privacy requirements, ensuring data integrity and protection across enterprise systems. 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 centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program 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.

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Responsibilities

The manager will define and execute the enterprise data vision and roadmap for Digital Workplace platforms, researching and designing scalable, governed, AI-ready data ecosystems. They will lead the design and delivery of distributed data platforms and pipelines, enabling GenAI and advanced analytics through high-quality, contextualized data.