Director - Data Engineering and AI Platforms
Infosys
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Job Description
- Experience in financial services, with understanding of consumer and commercial banking data.
- Experience supporting or enabling AI/ML and GenAI solutions, including feature pipelines and analytics platforms.
- Familiarity with data visualization and BI tools (Tableau, Cognos, SAS).
- Knowledge of responsible AI, data governance, and regulatory considerations in highly regulated environments.
- Experience modernizing legacy data platforms into cloud-native architectures.
- Executive speaking skills — ability to articulate strategy, challenge the status quo, and present to senior leadership and key stakeholders with confidence.
- Experience working across or within highly collaborative, non-hierarchical organizational cultures with an emphasis on peer relationships and open communication. Data Engineering & Architecture
- Serve as a hands-on technical leader in the design of scalable data pipelines, data stores, and information flows across the enterprise.
- Design and optimize cloud-based big data platforms, including ingestion, transformation, storage, and consumption layers.
- Lead the engineering of ETL/ELT frameworks, streaming pipelines, and batch processing solutions.
- Conduct enterprise-wide assessments of data stores and data flows to identify bottlenecks, friction points, and modernization opportunities.
- Own data modeling standards to ensure alignment with business objectives, performance, and accessibility. AI Enablement & Advanced Analytics
- Enable and support AI/ML and GenAI initiatives by building reliable, high-quality, and well-governed data pipelines.
- Collaborate with Data Science teams to operationalize models, including feature engineering pipelines, inference data flows, and model monitoring data.
- Support AI-driven use cases such as predictive analytics, recommendations, NLP-based insights, and intelligent automation.
- Stay current with market trends, embed innovative practices into strategy, and drive the organization forward with an AI-first approach — ensuring AI initiatives move beyond proof-of-concept to enterprise-scale solutions.
- Approach data engineering with an AI mindset and vice versa, reflecting the evolving and inseparable nature of the two disciplines.
About The Company
Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
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