About NCR Atleos

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.

Executive Director, Data and AI Platforms

Location: Atlanta, GA

Overview: NCR Atleos is looking for a strategic and results-oriented leader for its Data and AI teams who can build a common, integrated strategy around the disciplines of data engineering, data as a service, business intelligence/analytics, and AI (both generative and traditional AI). Ideal candidates bring deep experience in mining and operationalizing data feeds across the enterprise, and building experiences that not only satisfy stakeholder needs, but are also forward thinking to opportunities and future needs of the organization. Working with stakeholders, coaching the team in advanced data techniques and recruiting/retaining talent are all essential skills in this role.

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.Collaborate 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.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, among others) to build and optimize data pipelines, workflows and to expose data and AI tools as composable services available to all areas of the company.Exhibit knowledge and proficiency in specific AI and machine learning frameworks (LangChain, LlamaIndex, etc.) The candidate will lead and mentor teams who will leverage these and many other generative AI frameworks and tools.Experience in taking AI models from the experimental stage to a fully operational level. This includes understanding how to scale models, manage resources, handle data pipelines, and integrate models into existing systems.Suggest and implement architectural data patterns, such as the lake house model, to streamline data processing and analytics.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.Drive the adoption of cutting-edge technologies and methodologies in data engineering and AI, including machine learning (ML), data science, and advanced analytics.Develop and execute a strategic roadmap for data and AI initiatives, ensuring alignment with industry trends and emerging technologies, and also reflecting current and future goals of the company.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.Collaborate with IT and security teams to ensure compliance with data governance and security policies.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.Present data tools, solutions and services to enable stakeholders and drive independent and self-service use of data platforms and tools.

Qualifications:

Bachelor's or master's degree in Computer Science, Data Science, Software Engineering, or a related field.10+ years of experience in data engineering, AI, or related fields, with a proven track record of leadership in a similar capacity.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.Strong understanding of data architecture patterns, including data lakes, lake house architectures, and real-time data streaming.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.

Offers of employment are conditional upon passage of screening criteria applicable to the job.

Full time employee benefits include:

Medical Insurance

Dental Insurance

Life Insurance

Vision Insurance

Short/Long Term Disability

Paid Vacation

401k

EEO Statement
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.

Statement to Third Party Agencies

To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.