AI Leader

0 years

0 Lacs

Gujarat, India

Posted:6 days ago| Platform: Linkedin logo

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Skills Required

ai strategy governance leadership development vision data ml prioritization transparency compliance collaboration technology management learning communication deployment

Work Mode

On-site

Job Type

Full Time

Job Description

Role of an AI Leader As an AI Leader, you're responsible for guiding an organization's artificial intelligence strategy, implementation, and governance. This emerging leadership role combines technical expertise with business acumen and ethical oversight. Core Responsibilities 1. AI Strategy Development: Creating a comprehensive vision and roadmap for AI adoption that aligns with business objectives 2. Technical Leadership: Providing direction on AI technologies, frameworks, and approaches best suited for organizational needs 3. Team Building: Assembling and developing multidisciplinary teams of data scientists, ML engineers, data engineers, and AI specialists 4. Project Prioritization: Identifying high-value AI use cases and determining which initiatives to pursue based on feasibility and business impact 5. Ethical AI Governance: Establishing frameworks for responsible AI development, addressing bias, transparency, privacy, and regulatory compliance 6. Cross-Functional Collaboration: Working with business units to identify opportunities and implement AI solutions that deliver measurable value 7. Technology Selection: Evaluating and selecting appropriate AI technologies, platforms, and partners 8. Change Management: Guiding the organization through AI transformation, addressing concerns and managing expectations Key Skills Required ● Deep understanding of machine learning, deep learning, and AI technologies ● Business acumen to translate technical capabilities into business outcomes ● Strategic thinking and vision setting ● Team leadership and talent development ● Communication skills to explain complex AI concepts to non-technical stakeholders ● Ethical judgment and awareness of AI implications ● Change management expertise Challenges and Focus Areas ● Balancing innovation with practical implementation ● Managing the talent gap in AI specializations ● Ensuring responsible and ethical AI development and deployment ● Navigating rapidly evolving technology landscape ● Demonstrating ROI for AI investments ● Building AI literacy across the organization Show more Show less

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