Senior Manager – Data Science at American Express

American Express · Gurugram, India

📋 Job Details at a Glance 📍 Location Gurugram, India 🏢 Company American Express 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Data Science Governance Project Management Stakeholder Management MS Excel PowerPoint Word Senior Manager – Data Science at American Express — Full Details & How to Apply American Express is seeking a Senior Manager – Data Science in Gurugram, India . This role offers a unique opportunity to impact the future of financial technology, leveraging data to drive strategic decisions in a rapidly evolving landscape. As a pivotal position within the organization, the Senior Manager – Data Science will play a crucial role in shaping the company's data governance and project management strategies. In today's technology-driven world, the role of a Senior Manager – Data Science is more relevant than ever. With the financial services industry undergoing significant transformation, data-driven insights are essential for maintaining competitive advantage. Organizations are increasingly relying on data science to enhance operational efficiency and improve customer experiences. This position at American Express places you at the forefront of these changes, allowing you to contribute to innovative projects that redefine how financial technology operates. American Express stands out as an employer due to its unwavering commitment to innovation and employee development. The company fosters a culture that encourages continuous learning and growth, making it an ideal workplace for aspiring data scientists. With access to cutting-edge technologies and a focus on collaboration, employees are empowered to make impactful contributions. The Senior Manager – Data Science role not only offers a chance to work on transformative projects but also positions you within a globally recognized brand that values its workforce. This role is ideal for both freshers and candidates with up to 2 years of experience . If you hold a B.Tech, MCA, or any graduate degree and belong to the 2023, 2024, 2025, or 2026 batches, you are encouraged to apply. The Senior Manager – Data Science position is tailored for individuals who are eager to make a mark in the technology sector, especially within a leading financial services firm. By joining American Express as a Senior Manager – Data Science , you will gain invaluable skills in data science governance , project management , and stakeholder management . You will also enhance your proficiency in tools such as MS Excel , PowerPoint , and Word , while working in an environment that promotes cloud architecture , production-grade Java development , and Agile workflows . This role not only offers professional development but also the chance to be part of a team that is shaping the future of financial technology. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you're ready to take the next step in your career, consider applying for the Senior Manager – Data Science position at American Express and be part of a transformative journey in the financial technology landscape. Job Role & Responsibilities The role of Senior Manager – Data Science at American Express is pivotal in driving data-driven decision-making processes across the organization. This position involves leading innovative data science initiatives that enhance operational efficiency and strategic insights. Lead data science initiatives by applying advanced analytics techniques to improve decision-making processes at American Express . Utilize MS Excel and PowerPoint for effective data visualization and reporting, ensuring that insights are communicated clearly to stakeholders. Collaborate with cross-functional teams , including IT and marketing, to align data projects with overarching business objectives. Analyze data metrics to assess project outcomes, driving continuous improvement and operational excellence across various departments. Foster a culture of learning by mentoring junior team members and promoting best practices in data governance . Document project progress and outcomes, creating comprehensive reports for senior management and stakeholders to facilitate informed decision-making. Innovate solutions to complex data challenges, leveraging the latest technologies and methodologies in data science . Ensure compliance with data science governance standards to maintain data integrity and security throughout all projects. Conduct regular reviews of data initiatives to ensure alignment with American Express 's strategic goals and objectives. This role embodies an ownership culture where your contributions directly impact the success of American Express . By leading data science efforts, you will play a crucial role in shaping the future of the company. Required Skills & Technical Competencies The ideal candidate for the Senior Manager – Data Science position at American Express should possess a robust skill profile that combines technical expertise with strong interpersonal abilities. This blend is essential for driving impactful data initiatives. Technical Skills Data Science Governance — essential for ensuring data integrity and compliance within projects. Project Management — practical application in coordinating multiple data initiatives and meeting deadlines effectively. MS Excel (Intermediate) — utilized for data analysis and reporting, enabling effective decision-making. PowerPoint (Intermediate) — used for creating presentations that communicate complex data insights to stakeholders. Word (Intermediate) — important for documenting project details and producing comprehensive reports. Data Visualization Tools — familiarity with tools such as Tableau or Power BI is advantageous for presenting data insights. Programming Languages (Python or R) — beneficial for conducting advanced data analysis and modeling. Soft Skills & Professional Competencies Strong communication skills — crucial for effective stakeholder management and team collaboration. Analytical thinking — ability to interpret complex data sets and derive actionable insights. Team leadership — experience in guiding and mentoring junior team members to foster a collaborative environment. Problem-solving — adept at identifying issues and developing innovative solutions in data projects. Good to Have (Bonus) Familiarity with Machine Learning — knowledge of algorithms and their application in data science. Experience with Cloud Platforms — exposure to AWS or Azure for data storage and processing. Certifications in Data Science — recognized credentials that validate your expertise in the field. To effectively showcase these skills in your resume or during interviews, emphasize specific projects or experiences that highlight your proficiency in data science governance , project management , and your ability to communicate insights clearly. Eligibility Criteria This role is designed for both freshers and candidates with up to 2 years of experience who are eager to start their careers in data science at American Express . Candidates must hold a graduate degree in any field, with a preference for those in STEM disciplines. Eligible batches include 2023, 2024, 2025, and 2026 passouts. A minimum CGPA of 7.0 is preferred, reflecting a solid academic foundation in relevant subjects. Prior internship or hands-on project experience in data science is a strong advantage. Familiarity with data visualization tools and programming languages is beneficial. Strong communication skills and the ability to work collaboratively are essential. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your academic achievements, relevant projects, and any certifications. Consider showcasing your work on GitHub or a personal portfolio to demonstrate your skills effectively. Pro Tip: Highlight any data science projects or internships on your resume to improve your application success rate for this role. Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at American Express emphasizes providing a competitive salary and a comprehensive benefits package that reflects the value of the Senior Manager – Data Science role. While specific salary details are not disclosed , American Express is recognized for offering attractive compensation packages that align with industry standards. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Wellness Programs — initiatives promoting physical and mental well-being Learning and Development Opportunities — access to training programs and certifications Flexible Work Hours — accommodating diverse employee needs for work-life balance Performance-Based Bonuses — additional financial rewards based on individual and company performance Additional Perks & Benefits Meal Allowances — support for daily food expenses Transport Assistance — financial help for commuting costs Mentorship Programs — guidance from industry leaders to foster career growth Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Hybrid Work Options — flexibility to work from home or the office Career Progression & Salary Growth At American Express , career growth is supported through structured promotion timelines and annual performance appraisals. Employees can expect raises in the range of 5% to 10% annually, depending on performance and market conditions. The company encourages internal mobility, allowing employees to explore various roles within the organization. NexisGrow.com tip: When discussing salary, research industry standards and be prepared to articulate your value based on experience and skills. Selection Process The hiring philosophy at American Express focuses on identifying candidates who not only possess the necessary technical skills but also align with the company’s core values and culture. The selection process is designed to assess both technical expertise and cultural fit . 1 Round 1: Initial Screening — review of applications focusing on resume qualifications and relevant experience. 2 Round 2: Technical Interview — assessing data science skills and problem-solving abilities through case studies. 3 Round 3: Behavioral Interview — evaluating cultural fit and alignment with American Express values. 4 Final Stage: Offer Extension — contingent upon background checks and reference verification. What Each Round Tests Round 1 focuses on your resume and relevant experience, ensuring you meet the basic qualifications for the Senior Manager – Data Science role. Round 2 dives deep into your data science skills , while Round 3 assesses your communication skills and problem-solving abilities to ensure a good fit within the team. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status, with updates provided at each stage of the process. Interview Prep Tip: Familiarize yourself with American Express ’s core values and prepare examples that demonstrate your alignment with them. How to Apply for Senior Manager – Data Science at American Express Apply Now — American Express Step 1: Click the Apply button or visit the official career link provided to access the application portal. Step 2: Fill in your profile and upload your resume, highlighting relevant projects and skills in data science . Step 3: Expect a confirmation email after submission, detailing the next steps in the screening process. Step 4: Prepare for interviews by reviewing common questions and aligning your experiences with the Senior Manager – Data Science role. Step 5: Track your application status through the portal for updates on your progress. Resume & Profile Tips for This Role Highlight Relevant Experience — focus on your data science projects and outcomes. Showcase Technical Skills — emphasize your proficiency in Python , R , and machine learning frameworks. Demonstrate Leadership — provide examples of team management and project leadership. Include Certifications — list any relevant certifications that enhance your qualifications. Ensure to apply promptly to avoid missing this opportunity, as early applications may have a better chance of being reviewed. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Senior Manager – Data Science role at American Express? Eligibility Tap to expand + Answer Candidates must hold any graduate degree, preferably in STEM fields, and be from the 2023-2026 batches. ? What is the interview process for Senior Manager – Data Science at American Express? Interview Tap to expand + Answer The process includes an initial screening, a technical interview focused on data science skills, and a behavioral interview. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer Candidates will primarily use MS Excel, PowerPoint, and may also engage with programming languages like Python or R. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While salary details are not disclosed, American Express offers competitive compensation and performance bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is based in Gurugram, with potential for hybrid work arrangements depending on company policy. ? What is the career growth path after joining American Express as Senior Manager – Data Science? Growth Tap to expand + Answer Career growth includes structured promotion timelines and opportunities for internal mobility within the organization. ? How should I prepare for the Senior Manager – Data Science interview at American Express? Preparation Tap to expand + Answer Focus on honing your data science skills, understanding the company's mission, and preparing for technical and behavioral questions. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the provided link, ensuring your resume highlights relevant skills and experiences in data science. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a probation period where performance is evaluated, and candidates are encouraged to demonstrate their skills. ? What is the work culture like at American Express? Culture Tap to expand + Answer The culture emphasizes collaboration, diversity, and continuous learning, fostering an environment where employees thrive. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com