Job Description

JOB DESCRIPTION Position : Director of Engineering - Data/AI Job Location: Hyderabad, India Department: Asia Technology Role Value Proposition We are seeking an experienced and highly skilled Director of Engineering to lead our Data and AI Engineering Team . The successful candidate will be responsible for managing a team of data and AI engineers and data and AI analysts, and will play a critical role in designing, developing, implementing, and maintaining our company's data platforms and AI platforms. This includes designing and building scalable data pipelines, designing and building data hub/data lakes in the cloud, ensuring data quality and integrity, and collaborating with cross-functional teams to deliver business insights and analytics. The ideal candidate will have a strong technical background in software engineering, data engineering, and cloud computing, AI solutions, as well as excellent leadership and communication skills. Key Responsibilities: Lead the design and implementation of scalable and efficient data hubs/lakes in the cloud. Lead the design and implementation of scalable and efficient AI solutions Help design and develop strategy for data ingestion, curation and consumption by the data producers and consumers. Help design the data pipelines and create data assets for the organization. Implement and enforce data governance policies and practices to ensure the security, integrity and quality of our data assets. Drive initiatives to maintain and improve data quality, collaborating with cross-functional teams to establish and monitor data quality metrics. Help design and develop data analytics strategy for the organization. Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. Actively contribute to the development process, providing hands-on technical leadership and mentoring to the data engineering team. Identify skill gaps, provide coaching, and support the professional growth of team members, fostering a culture of continuous learning. Candidate Qualifications: Essential Business Experience and Technical Skills: Bachelor's or advanced degree in Computer Science, Engineering, or a related field. Proven track record of 12-15 years in data engineering, with significant experience in cloud-based data engineering solutions. Hands-on experience with design and development of cloud-based data hubs/lakes and defining the enterprise data strategy. Proficiency in implementing and managing data lakes in the cloud. Hands-on experience with large-scale data processing frameworks (e.g., Spark, Hadoop, Kafka). Proficient in programming languages such as Python or Java; familiarity with SQL and database technologies. Experience architecting scalable data systems on cloud platforms (AWS, GCP, Azure) preferably Azure data hub. Experience in data warehousing. (data modeling, dimensional modeling, ETL etc.) and data analytics frameworks (Azure Synapse). Demonstrated experience in implementing and managing data governance frameworks and ensuring high data quality standards. Strong leadership skills with the ability to lead and inspire a high-performing data engineering team, fostering a collaborative and innovative work environment. Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders Why MetLife? At MetLife, we don't fit into a box, we create our own boxes. Our Global Technology team is helping to transform a customer-first Fortune 50 company - by offering the high-tech digital solutions customers have come to expect, while delivery high-touch customer care during the moments that matter most. Our tech teams enable the business, helping fuel MetLife's purpose: always with you, building a more confident future . It's where you can grow your career, driving digital transformation in an agile, open, and inclusive environment, where every voice carries weight, and no idea is left off the table. Here, innovation is everybodys job. Its not done within one team or in a lab. Whether youre driving continuous improvement with your DevOps team, integrating data science and AI into our decision making, or developing best-in-class digital and cloud solutions that protect customer data and personalize their experience, what you build matters as part of a team where together, we can do more.