AI Strategy & Architecture ConsultantRole OverviewThe organization is seeking an AI Strategy & Architecture Consultant to lead the development of both short-term and long-term AI acceleration strategies. This role will be responsible for creating a comprehensive roadmap for AI adoption, establishing governance frameworks, and designing scalable technology architectures that align with organizational priorities.
You will work closely with senior leadership and cross-functional teams to identify high-value use cases, define prioritization criteria, and ensure responsible and ethical AI practices.
The ideal candidate brings deep expertise in enterprise architecture, AI strategy, and data governance, paired with strong communication skills and the ability to deliver executive-level presentations and actionable plans.
Responsibilities
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Develop and deliver a comprehensive AI acceleration strategy, including short-term and long-term roadmaps.
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Define KPIs and ROI models to measure business impact and technical success of AI initiatives.
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Establish governance frameworks for AI adoption, including data strategy, compliance, and responsible AI principles.
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Assess business value and technical feasibility of AI use cases to support prioritization.
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Design scalable technical architectures for AI platforms, data pipelines, and integration patterns.
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Recommend cloud-based AI solutions and establish MLOps practices for end-to-end model lifecycle management.
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Collaborate with stakeholders to align technical solutions with business objectives and ensure successful delivery.
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Apply enterprise architecture frameworks (e.g., TOGAF, Zachman) to align AI initiatives with organizational standards.
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Prepare executive-level presentations and documentation for leadership reviews.
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Provide guidance on vendor selection, partnership strategies, and emerging AI technologies.
Skills & Experience RequirementsAI Strategy & Governance
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Experience developing and executing AI adoption strategies for both short-term and long-term horizons.
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Experience defining and implementing KPI and ROI frameworks to measure impact and technical success.
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Experience designing governance models for AI initiatives, including data strategy, compliance, and responsible AI principles.
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Experience assessing business value and technical feasibility of AI use cases.
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Ability to guide cultural and operational shifts required for AI adoption, including stakeholder alignment and readiness assessments.
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Experience identifying risks (bias, privacy, compliance) and implementing mitigation strategies.
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Experience ensuring adherence to ethical AI standards and regulatory requirements.
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Ability to evaluate and recommend external AI vendors, platforms, and partnership opportunities.
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Strong ability to translate complex AI concepts into clear, actionable insights for senior leadership and non-technical audiences.
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Knowledge of emerging AI trends and ability to assess their relevance for future strategy.
AI Implementation
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Experience designing scalable technical architectures for AI platforms, data pipelines, and integration patterns.
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Experience recommending and guiding implementation of cloud-based AI solutions and MLOps practices.
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Experience collaborating with stakeholders to align technical solutions with business objectives.
Enterprise Architecture
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Experience applying enterprise architecture frameworks (TOGAF, Zachman, or similar) to align AI initiatives with organizational standards.
Must-Have Qualifications
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Proven experience developing and executing AI adoption strategies for short- and long-term horizons.
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Experience defining and implementing KPI and ROI frameworks.
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Experience designing governance models for AI initiatives, including data strategy, compliance, and responsible AI.
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Experience assessing business value and technical feasibility of AI use cases.
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Experience designing scalable architectures for AI platforms, data pipelines, and integration patterns.
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Experience recommending and guiding adoption of cloud-based AI solutions and MLOps practices.
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