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AI Transformation Initiatives:
Drive and manage AI transformation initiatives across EY Consulting.
Develop and implement strategies to integrate AI into various consulting services and operations.
Monitor and report on the progress of AI initiatives, ensuring alignment with organizational goals.
Collaboration with PMO:
Work closely with the Program Management Office to align on investments, reporting, and benefit realization.
Ensure that AI projects are delivered on time, within scope, within budget, and can scale across the organization.
Facilitate regular meetings with the PMO to review project status and address any issues.
Connection Points Creation:
Support the creation of connection points between AI leaders in EY Consulting and regional representatives in the tech and emerging technology fields.
Foster collaboration and knowledge sharing among AI leaders and regional representatives.
Identify opportunities for synergy and innovation across different regions and technology fields.
Leadership Communications:
Manage all internal leadership communications around AI.
Develop and distribute communication materials, including newsletters, reports, and presentations.
Ensure that all stakeholders are informed about AI initiatives, progress, and outcomes.
Stakeholder Engagement:
Engage with key stakeholders to understand their needs and expectations regarding AI initiatives.
Build and maintain strong relationships with internal and external stakeholders.
Act as a point of contact for AI-related inquiries and provide support as needed.
Continuous Improvement:
Identify and implement best practices for AI transformation and project management.
Stay updated on the latest trends and developments in AI and emerging technologies.
Provide recommendations for continuous improvement of AI initiatives and processes.
Technical Expertise:
Base knowledge of AI capabilities and frameworks for development and implementation
Ability to grasp and work with both technical and business concepts.
Excellent analytical skills across the business and technical domains.
Leadership and Collaboration:
Proven ability to lead cross-functional teams and manage complex projects.
Strong interpersonal and communication skills to engage with stakeholders at all levels.
Ability to educate and train teams on AI tools, practices, and their benefits.
Experience in leading AI workshops and innovation sessions to foster a culture of AI-driven transformation.
Strategic Thinking:
Ability to develop and implement strategies to integrate AI into various consulting services and operations.
Strong problem-solving skills and the ability to think critically and creatively.
Ability to identify opportunities for synergy and innovation across different regions and technology fields.
Continuous Learning:
Commitment to staying updated on the latest trends and developments in AI and emerging technologies and sharing with the relevant community.
Ability to identify and implement best practices for AI transformation and project management.
Willingness to provide recommendations for continuous improvement of AI initiatives and processes.
To qualify for the role you must have
Bachelros degree or equivalent experience
Master’s Degree preferred.
Hands-on experience or certifications in AI/ML frameworks and platforms are a plus.
Proven track record of leading and managing global teams operating across different time zones, markets, and working cultures.
Proven experience in driving and managing AI transformation initiatives.
Experience in collaborating with Program Management Offices (PMO) to align on investments, reporting, and benefit realization.
Experience is in creating value models to track qualitative and quantitative benefits of tech focused change enablement initiatives.
Experience in managing internal leadership communications around AI.
Ideally, you’ll also have
Understanding of the consulting industry and the ability to integrate AI into consulting services.
Experience in working with regional representatives in the tech and emerging technology fields.
Familiarity with ethical AI practices, data privacy laws, and organizational policies.
Ability to monitor the performance of deployed AI solutions and address potential biases or inaccuracies.
Strong project management skills and the ability to ensure that AI projects are delivered on time, within scope, and within budget.
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