
Chief AI Innovation Officer
20 hours ago
This is a high-impact role that requires a seasoned innovation architect to drive transformative change within enterprise organizations.
A successful candidate will be a technology leader who can work closely with clients to identify and prioritize high-impact innovation opportunities.
The ideal candidate will have a strong background in artificial intelligence and machine learning, as well as experience working with cutting-edge technologies in enterprise environments.
Key Responsibilities:
- Innovation Use Case Identification: Engage with client stakeholders to uncover and prioritize high-impact innovation opportunities. Analyze business challenges and identify use cases where emerging technologies (AI, automation, analytics) can deliver significant value.
- Solution Architecture & Alignment: Design end-to-end solutions for approved innovation use cases, creating solid architectures that balance novelty with feasibility. Ensure all solutions adhere to the client's security policies and enterprise architecture standards.
- Lead Innovation Pods: Lead cross-functional teams to rapidly develop prototypes and pilot solutions. Coordinate developers, data scientists, domain SMEs, and designers in an autonomous pod to deliver proofs-of-concept and MVPs using agile methodologies.
- Technical Leadership in AI & Automation: Serve as the subject matter expert in emerging technologies. Guide projects focused on agentified AI, conversational AI, and enterprise automation.
- Cross-Platform Integration: Oversee the integration of innovative solutions with enterprise platforms and data sources.
- Client Collaboration & Management: Act as a primary point of contact for innovation projects with clients. Facilitate workshops and ideation sessions to shape solution concepts.
- Alignment with Compliance & Standards: Navigate enterprise processes to get innovations from idea to deployment.
- ROI Analysis & Business Case: Contribute to defining KPIs and success metrics for each innovation initiative.
- Mentoring & Knowledge Sharing: Mentor junior architects and technical team members in new technologies and architecture best practices.
Required Skills and Qualifications:
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience: Approximately 8–10 years of experience working with cutting-edge technologies in enterprise environments.
- AI/ML Expertise: Strong background in artificial intelligence and machine learning.
- Automation & Integration: Proven experience with enterprise automation tools and integration techniques.
- Enterprise Systems Knowledge: Broad understanding of enterprise application landscapes.
- Architecture & Security Acumen: Deep knowledge of enterprise architecture principles and design patterns.
- Project Leadership: Demonstrated ability to lead technology projects or innovation initiatives end-to-end.
- Communication & Stakeholder Management: Excellent client-facing communication skills.
- Problem-Solving & Innovation Mindset: A creative thinker who stays updated on emerging tech trends.
- Adaptability: Experience working in ambiguous, evolving environments.
Benefits:
- Opportunity to work on high-impact innovation projects.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
Others:
- We are an equal opportunity employer.
- We offer a competitive salary and benefits package.
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