Senior Manager-Data Analytics at American Express Company South Africa

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Machine Learning, Predictive Modeling, Optimization, Generative AI, LLMs, RAG, Embeddings, Python, SQL, NLP, Model Governance, Prompt Design, Data Science, Analytical Roadmaps, Stakeholder Management

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. 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 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. How will you make an impact in this role? The AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS Marketing – is the analytical engine that enables the Global Commercial Services portfolio of American Express. Accelerating growth momentum, increasing profitability, and strengthening our value proposition are key objectives for this organization. About the role The Senior Manager- Data Analytics will join the Prospect cross-functional team within AIM, leading a team of data scientists to drive advanced analytics initiatives that improve commercial prospecting and acquisition outcomes. Leveraging a broad analytical toolkit—including advanced machine learning, predictive modeling, optimization, and emerging AI techniques - the role oversees end-to-end delivery of scalable solutions that enhance targeting precision, engagement effectiveness, and marketing ROI. Operating at the intersection of advanced analytics, commercial strategy, and evolving AI capabilities, this role translates data-driven insights into sustainable competitive advantage. The individual will serve as a strategic partner to marketing and product stakeholders, shaping analytical roadmaps and embedding data science into core decision-making processes. Key Responsibilities Lead a team of data scientists and analysts, providing technical and strategic direction, ensuring high-quality delivery across multiple concurrent initiatives. Translate complex business questions into structured analytical and decision-intelligence frameworks, identifying the right mix of statistical techniques, machine learning, and Generative AI approaches (e.g., LLMs, RAG, embeddings) to deliver high-impact solutions. Design, build, and enhance advanced analytical models and GenAI-enabled data products—including predictive modeling, customer/prospect scoring, matching, prioritization, and enrichment capabilities—to strengthen targeting and acquisition strategies. Lead the development and deployment of scalable AI/ML solutions, including NLP and Generative AI applications where relevant, ensuring alignment with business objectives, platform standards, and production-readiness requirements. Apply strong quantitative judgment and technical rigor to evaluate data quality, refine features, enhance models, and ensure analytical methods and pipelines are robust, efficient, and aligned with best practices. Influence and align cross-functional partners by collaborating with product, engineering, and business stakeholders to define Generative AI and analytical use cases, integrate analytical solutions into workflows, and enable effective adoption. Establish and manage experimentation and performance evaluation frameworks for analytical solutions, incorporating testing, monitoring, and continuous improvement aligned with business objectives. Present analytical insights, model performance, trade-offs, and business impact clearly to senior stakeholders and cross-functional partners. Ensure adherence to established model governance and responsible AI guidelines in collaboration with risk and compliance partners. Minimum Qualifications Degree in a quantitative field preferred - such as Engineering, Mathematics, Computer Science, Finance, or Economics. 5+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles Strong programming skills in Python and SQL, with hands-on experience developing machine-learning and GenAI/NLP models end-to-end. Strong analytical and conceptual problem-solving capability, with a demonstrated ability to translate business needs into structured analytical plans and GenAI/ML solution approaches. Experience designing GenAI solutions with consideration for enterprise platform constraints, including cost efficiency, latency, scalability, and reliability. Maintain strong hands-on involvement in model development and experimentation, supporting iterative improvements and scalable deployment. Excellent executive communication and interpersonal skills, with the ability to build strong working relationships and deliver clear, compelling insights to senior leaders. Demonstrated experience leading teams in complex, cross-functional environments while maintaining appropriate technical depth to guide solution development. Preferred Qualification Experience working with LLM-based applications, including prompt design and evaluation, is a strong plus. Familiarity with modern ML and AI tooling ecosystems; exposure to Generative AI frameworks and LLM application development is a plus. Understanding of responsible AI, data integrity, model governance and GenAI risk management principles (e.g., explainability, bias/fairness, monitoring, audit readiness) is preferred. 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 American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. 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 role involves leading a team of data scientists to drive advanced analytics initiatives, focusing on improving commercial prospecting and acquisition outcomes using advanced machine learning and Generative AI techniques. Key duties include designing, building, and deploying scalable AI/ML solutions while serving as a strategic partner to marketing and product stakeholders.