Data Engineering and Machine Learning Leader
7 days ago
Job DescriptionWe are seeking a visionary leader to head our data engineering and machine learning teams. As Head of Data Engineering and ML, you will be responsible for building and scaling our data platforms, ensuring smooth model deployment, and driving innovation in machine learning.Your primary focus will be on designing and operationalizing decisioning platforms, expanding systems across functional pods, and ensuring scalability, modularity, and compliance with regulatory frameworks. You will lead the development of modern data platforms, ensuring full lifecycle governance of data from sourcing to archival.You will also be responsible for leading DataOps, L1/L2 support, and SRE teams to maintain platform uptime and implementing automated testing, proactive monitoring, and self-healing systems.In addition, you will act as an execution partner to the Head of Product & Strategy and functional leaders, delivering platform capabilities and decisioning products aligned to business KPIs.Required Skills & QualificationsA minimum of 15 years of experience in data engineering, ML engineering, or platform leadership, with at least 8 years in senior management roles.Proven success in building and scaling large-scale data/ML platforms in fast-paced environments.Strong academic foundation with a Bachelor's/Master's/PhD in Computer Science, Engineering, or quantitative fields from top-tier institutions.Deep expertise in data platform design, MLOps frameworks, and model lifecycle management.Experience operationalizing decisioning platforms combining rules, ML, AutoML, and workflow automation.Proficiency in cloud platforms and container orchestration.Strong understanding of data governance, lineage, and compliance frameworks in regulated industries.BenefitsThis role offers a unique opportunity to drive innovation and growth in our organization. You will have the chance to work with cutting-edge technology, collaborate with talented professionals, and make a meaningful impact on our business outcomes.OthersWe are committed to providing a supportive and inclusive work environment that fosters creativity, learning, and professional growth. We offer competitive compensation packages, comprehensive benefits, and opportunities for career advancement.
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