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Strategic Data and AI Leader

2 months ago

Atlanta, Georgia, United States NCR Atleos Full time
About NCR Atleos

NCR Atleos is a leading financial technology company that provides innovative solutions to expand financial access. Our team of 20,000 dedicated professionals optimizes the branch, improves operational efficiency, and maximizes self-service availability for financial institutions and retailers worldwide.

Job Overview

NCR Atleos is seeking a strategic and results-driven leader to head its Data and AI teams. The ideal candidate will build a unified strategy around data engineering, data as a service, business intelligence/analytics, and AI (both generative and traditional AI). They will bring deep experience in mining and operationalizing data feeds across the enterprise and building experiences that satisfy stakeholder needs while being forward-thinking.

Key Responsibilities
  • Leadership and Management: Lead and mentor a team of 40 data engineers, analysts, and AI professionals, fostering a culture of innovation, collaboration, and continuous improvement.
  • Collaboration with Senior Leaders: Work with the CTO and other senior leaders to align data strategies with NCR Atleos' business objectives.
  • Data Platform Ownership: Oversee the design, implementation, and maintenance of NCR Atleos' data platforms, ensuring scalability, reliability, and security.
  • Data Asset Management: Create and manage the lifecycle of data assets, including data ingestion, lineage, transformation, storage, and access.
  • Technical Expertise: Utilize cloud-based tools and platforms (Azure Data Factory, Azure Synapse, and Fabric) to build and optimize data pipelines, workflows, and expose data and AI tools as composable services.
  • AI and Machine Learning: Exhibit knowledge and proficiency in specific AI and machine learning frameworks (LangChain, LlamaIndex, etc.) and lead teams who will leverage these and other generative AI frameworks and tools.
  • Model Deployment: Experience in taking AI models from the experimental stage to a fully operational level, including scaling models, managing resources, handling data pipelines, and integrating models into existing systems.
  • Architectural Patterns: Suggest and implement architectural data patterns, such as the lake house model, to streamline data processing and analytics.
  • Real-Time Data Streaming: Ensure the integration of real-time data streaming from legacy databases and data marts into the data lake using tools and technologies like Apache Kafka, Apache Flink, or similar cloud-centered technologies.
  • Innovation and Strategy: Evaluate and recommend appropriate cloud and open technologies, platforms, and services based on fit for purpose, pricing, sustainability, and industry best practices.
  • Cloud Environment Management: Oversee the deployment and management of cloud environments (Azure), ensuring efficient use of resources and adherence to best practices in cloud architecture.
  • Stakeholder Engagement: Act as a key liaison between technical teams and business stakeholders, translating business needs and challenges into technical concepts and fast, iterative, and immediately actionable delivery plans.
Qualifications
  • Education: Bachelor's or master's degree in Computer Science, Data Science, Software Engineering, or a related field.
  • Experience: 10+ years of experience in data engineering, AI, or related fields, with a proven track record of leadership in a similar capacity.
  • Technical Skills: Deep expertise in cloud platforms, particularly Microsoft Azure, and familiarity with tools like Azure Data Factory, Azure Synapse, Fabric, or other comparable and relevant technologies.
  • Soft Skills: Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. Strong communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.