Director of Data Science

General information

Country United States State Georgia City Atlanta Job ID 46834 Department Sales Experience Level DIRECTOR Employment Status FULL_TIME Workplace Type Hybrid

Description & Requirements

The Director of Data Science is accountable for establishing and scaling deep analytics and predictive intelligence capabilities across the enterprise to increase both the operational effectiveness and efficiencies of our internal functions. In this role, you will define where machine learning creates value, build the team and infrastructure to deliver it, and embed data science models & tools into the strategic organization-wide decision-making. This is a foundational role for someone who understands how to translate technical capabilities into business impact across end-to-end customer lifecycle. 

A Day in The Life Typically Includes: 

• Build and lead a data science team (approximately 6) from the ground up, setting vision, operating model, and team structure; with a focus on data science models & tools.
• Recruit, develop, and retain top-tier talent across data science, engineering, and related technical roles.
• Create a culture of experimentation, analytical rigor, and strong business partnership across RevOps, Marketing, Sales, Customer Success, Delivery, IT, and more.
• Identify and prioritize high-ROI use cases spanning demand generation, conversion optimization, customer adoption, retention, pricing, forecasting, and operational efficiency.
• Translate business opportunities into actionable data science projects (e.g., win/loss analytics, churn root-cause analysis, AE/BDR performance insights).
• Deploy enterprise-scale ML systems with robust monitoring, governance, and MLOps infrastructure for rapid, reliable model deployment and decision dashboards.
• Architect scalable ML/AI infrastructure for batch and real-time inference, adopt emerging technologies (LLMs, AutoML, Agentic AI), and set standards for model lifecycle management.
• Influence C-suite decisions with predictive insights, drive organizational data literacy, and represent the company externally through thought leadership.

Basic Qualifications: 

• Experience in data science, analytics, machine learning, GenAI or related quantitative fields, ideally having managed a high-performing teams.
• Experience deploying production ML systems that delivered measurable business outcomes (revenue growth, cost reduction, efficiency gains).
• Experience operating in enterprise software, SaaS, ERP, or B2B technology environments.
• Experience applying GenAI and/or Agentic AI to real-world enterprise use cases.
• Deep expertise in machine learning, statistical modeling, optimization, and causal inference, with hands-on experience with modern ML tech stacks (Python, Spark, TensorFlow/PyTorch, cloud platforms), as well as understanding of MLOps practices, model lifecycle management, and production ML infrastructure.
• Experience designing and deploying GenAI solutions, including LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG), having familiarity with GenAI/LLM applications in enterprise contexts, including Agentic AI frameworks and orchestration tools (e.g., LangChain, AutoGen, Semantic Kernel).
• Experience influencing C-suite and drive organizational change, as well as having had experience managing P&L impact and presenting ROI of analytics investments to senior leadership.
• Full-Stack Data Ecosystem Experience, having fluency across the data stack, includes modern platforms (e.g., Snowflake), orchestration tools (e.g., dbt), and cloud-native architectures, plus strong ML/AI proficiency for scalable solutions.
• Value Creation Mindset, prioritize innovation and business value creation when shaping data and analytics strategies, while building in rigor and scalability in parallel.
• Experience in Holistic Analytics Design, having the ability to assess a business problem, identify the insights required, determine the necessary data, and design end-to-end analytics solutions.

Location: US (Alpharetta, GA, Dallas TX)

About Infor
Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn’t just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you’re not just building a career. you’re helping to build what’s next.
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.
For more information visit www.infor.com


Our Values
At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization.
We have a relentless commitment to a culture based on PBM™. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.
Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section.
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