Intern supporting AI transformation at BMW Group's GenAI Self - Service Platform. Contributing to efficiency and compliance in a project environment with an international development team.
SE
Hybrid Senior Director of Data, AI, Automation
Posted last month
About the role
- Leading enterprise-wide strategy and execution in data architecture, AI, and automation at GE Vernova. This position requires a forward-thinking leader who can unlock value from data and drive operational excellence.
Responsibilities
- Define and execute the strategy for data management, AI/ML, and automation initiatives aligned with business goals;
- Lead and participate in cross-functional teams in developing scalable, innovative, and ethical AI solutions;
- Serve as a key advisor to executive leadership on data-driven decision-making and emerging technologies;
- Provide strategic oversight for data architecture, governance, quality, and lifecycle management;
- Define and enforce enterprise-wide data standards, governance frameworks, and best practices;
- Champion the democratization of data by enabling modern data platforms;
- Own and drive the enterprise AI strategy and roadmap;
- Lead the scaling of AI/ML capabilities to enhance products and customer experiences;
- Oversee development and deployment of predictive models;
- Identify and prioritize opportunities for robotic process automation (RPA);
- Collaborate closely with operations and IT teams to design streamlined workflows;
- Lead and develop a high-performing team of experts;
- Foster a culture of innovation, experimentation, and continuous improvement.
Requirements
- Bachelor's Degree in Computer Science, Engineering, Data Science, or related field;
- 10+ years of experience in data, AI/ML, or automation, with at least 5 years in a senior leadership role;
- Proven experience delivering enterprise-level AI and data solutions;
- Strong understanding of data platforms, AI/ML frameworks, and automation tools;
- Master’s degree in a quantitative or technical discipline is desired;
- Certification in AI, Data Engineering, or Agile/Lean methodologies is desired;
- Demonstrated success applying AI/ML to optimize internal business processes and enhance employee productivity at enterprise scale;
- Expertise in cloud infrastructure (AWS, Azure, GCP), modern application development, APIs, and microservices is preferred;
- Deep understanding of AI/ML frameworks, data integration, and workflow automation in complex enterprise environments.
Benefits
- Healthcare benefits include medical, dental, vision, and prescription drug coverage;
- Access to a Health Coach, a 24/7 nurse-based resource;
- Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services;
- GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and retirement contributions;
- Access to Fidelity resources and planning consultants;
- Tuition assistance;
- Adoption assistance;
- Paid parental leave;
- Disability insurance;
- Life insurance;
- Paid time-off for vacation or illness.
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