Data Science Director
1 month ago
About EY
Ey is a leading professional services firm that helps businesses and governments improve performance, reduce costs, and mitigate risk. At EY, you'll have the opportunity to work with top clients in various industries, including technology, media, and telecommunications.
We're seeking an experienced AI Architect to lead our AI initiatives and drive innovation and excellence in AI strategy and implementation within the Technology, Media, and Telecommunications sector.
Key Responsibilities- Architect Complex AI Systems: Design and develop scalable, resilient, and tailored AI systems that drive transformative outcomes in the TMT sector.
- Lead Technical Design and Deployment: Oversee the technical design and deployment of enterprise-grade AI solutions, leveraging cloud-native architectures for optimal data management and analytics.
- Conduct Technical Deep-Dive Sessions: Extract nuanced AI requirements and crystallize them into robust execution plans with measurable success criteria.
- Design AI Governance Frameworks: Develop and enforce AI governance frameworks to address ethical considerations, regulatory compliance, and robust security postures in solution design.
- Harness Cutting-Edge AI Methodologies: Leverage computer vision and Gen AI/advanced Natural Language Processing to deliver tangible improvements in client operations.
- Translate Complex Analytical Findings: Communicate actionable insights to C-suite stakeholders using advanced data visualization techniques.
- Drive Technical Growth: Mentor AI Engineers and Data Scientists, instilling best practices in software engineering, algorithm optimization, and systems integration.
- Evaluate and Integrate Emergent AI Technologies: Stay up-to-date with industry trends and evaluate emerging AI technologies to maintain a competitive edge in the firm's service offerings.
- Serve as Technical Authority: Champion the adoption of modern data technologies for high-volume, high-velocity data ecosystems.
- Orchestrate AI Project Execution: Ensure adherence to technical specifications, deadlines, and quality benchmarks.
- Maintain Expert-Level Understanding: Stay current with industry-specific trends and technology advancements to inform strategic solution architecture.
- Cultivate Excellence within AI Project Teams: Foster a culture of technical rigor and collaborative problem-solving.
- Strategize and Steer Business Development Activities: Form enduring client partnerships through the delivery of impactful AI-driven solutions.
Required Skills and Qualifications
- Bachelor's degree or master's degree in computer science, Informatics, Statistics, Applied Mathematics, Data Science, Machine Learning, or Artificial Intelligence, and 8-10 years' experience in industry or technology consulting.
- Deep knowledge of AI disciplines, such as machine learning, deep learning, NLP, speech-to-text, computer vision, etc.
- Ability to design end-to-end AI solutions that include data collection, preprocessing, model development, deployment, and monitoring.
- Exceptionally proficient in advanced Python programming for AI.
- Hands-on experience with stable and evolving AI frameworks and design patterns.
- Demonstrated leadership in guiding teams to design, test, deploy, and refine AI models, incorporating MLOps and AIOps practices.
- Practical knowledge of AI governance principles and implementation methodologies within AI pipelines and solutions.
- Excellent leadership, communication, and project management skills.
- A valid driver's license in the US; willingness and ability to travel to meet client needs.
Benefits
- We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business.
- The base salary range for this job in all geographic locations in the US is $142,600 to $325,800.
- In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
What We Offer
We are committed to providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis.
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