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Engineering Director

2 months ago

gurugram, India American Express Full time

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you will learn and grow as we help you create a career journey that is unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. 

At American Express, you will be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we will win as a team, striving to uphold our and powerful backing promise to provide the world’s best customer experience every day. And we will do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. 

Join Team Amex and let's lead the way together .

Engineering Director – Data Engineering 

The Digital Workplace Data Platform aims to bring together the data from all Unified Workspace, Collaboration and Colleague Servicing platforms; combining this with HR, Information Security, and network data to provide real-time, meaningful insights in areas such as user experience, health scoring, productivity, and overall IT visibility. As the Engineering Director of the Digital Workplace Data Platform, you will have responsibility for leading the engineering teams to develop the data platform and enhance it to provide personalization capabilities, analytics, and predictive analysis using AI/ML. 

What is Amex’s objective for a digital workplace?

Our winning aspiration is to deliver the best Colleague digital experience. We simplify work and raise productivity by empowering Colleagues with the best digital tools and services. 

Opportunity for Impact

The Digital workplace at American Express is entering into a new phase of technology transformation driven by opportunities to improve Colleague experience, raise productivity and collaboration, and drive operational efficiency of all service and infrastructure operations. If you have the talent and desire to deliver innovative products and services at a rapid pace, with hands on experience and strategic thinking, in areas of productivity and collaboration software suites, endpoint computing and security, mobile platforms, data management and analytics, and software engineering, join our leadership team to help with our transformation journey.

Role and Responsibilities:

The Data Engineering platform is central to the future of how we work and improve colleague experience while identifying opportunities for improvement. As the leader of this group, you will: 

Create and manage a complex distributed data engineering pipeline at scale and manage its availability, throughputs, and security  Lead engineering teams and partner with Product Management to enhance the quality and outcomes of the data products including data analytics & visualization  Lead the solutioning of AI/ML models on the data to build meaningful insights & predictive analysis  Work & collaborate with Product Management and Digital Workplace teams to influence key decisions on architecture and implementation of scalable, reliable, and cost-effective data platform  Bring thought leadership to advance the overall state of technology and customer focus for the platform  Manage delivery milestones, deployment cycles & delivery of the overall Data Platform’s roadmap  Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume  Build, inspire, and grow talented engineering teams that are responsible for designing and building Data Engineering and Analytics suits  Build culture of innovation, ownership, accountability, and customer focus  Contribute to the American Express Data Strategy. Working with other Technology teams to drive enterprise solutions, define best practice at a company level and further develop skills and experience outside Digital Workplace.  Partner with the Digital Workplace technology teams to develop the data platform strategy across all products and channels.  Participate actively and constructively in agile team meetings and application reviews  Work directly with and learn from the business, product, and engineering leaders across the organization  Strengthen the collaboration with Industry partners/suppliers for more robust data solutions and market research for innovative solutions in this space

Professional Qualifications :

Demonstrated experience leading engineering teams in remote and distributed product engineering setup  Experience writing software in Python, Scala or similar. Experience with data structures, algorithms, and software design  Experience on various data architectures, latest tools, current and future trends in data engineering space especially Big Data, Streaming and Cloud technologies like GCP, AWS, Azure.  Hands on experience with Big Data technologies (Spark, Kafka, Hive, etc.) and have at least 1 Big data implementation on platforms like Cornerstone, Teradata, etc.  Experience in creating Large-scale data engineering pipelines, data-based decision-making, and quantitative analysis  Experience with Visualization Tools like Tableau, Power BI, etc. Experience with complex, high volume, multi-dimensional data, as well as ML/AI models for unstructured, structured, and streaming datasets  Advanced experience in writing and optimizing efficient SQL queries with Python, Spark, Hive, Scala handling Large Data Sets in Big-Data & GCP Environments  Exposure to Data Science including Predictive Modelling  Experience architecting data products in Streaming, Serverless and Microservices based Architecture and platform  Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks  Exposure in building cloud-native platforms on modern tech stack: AWS, Java, Spring Framework, RESTful API, and container-based application.  Exposure in building Predictive models using machine learning through all phases of development, from design through training, evaluation, validation, and implementation.  Ability to learn new tools and paradigms in data engineering and science  Proven experience attracting, hiring, retaining, and leading top engineering talent Creative, passionate, and experienced leader of both people and technology  Team Management savvy (e.g., planning, budgetary control, people management, vendor management, etc.)  Experience with DevOps, reliability engineering, and platform monitoring  Well versed in AGILE, DevOps and Program Management methods  Bachelor’s degree with a preference for Computer Science

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life.

Benefits include:

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.