Sr. Director and Capability Lead - Operations & AI​/ML

Sr. Director and Capability Lead - Intelligent Operations & AI/ML

Randstad Digital is actively seeking a Capability Lead to join our team. Capability building, solutions design, AI, ML, Intelligent Operations, AIOps, MLOps, Cloud, Go-to-market strategy is required.

• Strategic & Offering Development
• Lead AI-Driven Service Strategy:
  Lead the strategic initiative to embed intelligent operations and AI solutions across our entire service portfolio.
• Develop New Service Offerings:
  Collaborate with global stakeholders to design, package, and bring to market new, high-impact consulting and managed service offerings focused on AI-driven business value and operational efficiency.
• Develop and execute end-to-end Go-to-Market (GTM) strategies for new AI/ML service offerings.
• Create and manage a scalable sales enablement program, equipping sales and solution architect teams with the collateral, training, and tools to effectively sell AI solutions.
• Lead the development and curation of the practice's Intellectual Property (IP), including reusable code accelerators, standardized SOWs, and delivery frameworks.
• Lead AI Partner Strategy:
  Identify, select, and manage the AI partner ecosystem for key vendors for embedded AI technologies and AI for Operations toolsets.
• Act as a trusted advisor to client executives, nurturing senior relationships to identify and shape new opportunities for strategic account growth.
• Contribute to Financial Modeling:
  Partner with leadership to develop financial models, client-facing ROI calculators, and business value assessments for new and existing offerings.
• Define Practice KPIs:
  Define and report on the Key Performance Indicators (KPIs) for the practice, including solution ROI, client adoption, and operational efficiency gains.
• Define Technical Architectures:
  Establish and govern the reference architectures for AIOps, MLOps, cloud-native AI platforms, and Generative AI solutions.
• Operationalize AI:
  Build and enforce best practices for the entire machine learning lifecycle (MLOps), including data pipelines, model training, CI/CD, deployment, monitoring, and governance.
• Establish Responsible AI Governance:
  Champion and implement the practice's "Responsible AI" framework, ensuring ethical, transparent, and compliant deployment of all client and internal solutions.
• Drive Innovation:
  Stay at the forefront of AI/ML advancements, driving experimentation and rapid prototyping of new solutions to solve complex client problems.
• Ensure Production Stability:
  Implement and oversee robust monitoring systems to ensure the performance, reliability, and production-grade stability of all deployed AI/ML models.
• Build & Mentor Teams:
  Recruit, lead, and mentor AI engineers, MLOps specialists, and data scientists. Foster a culture of innovation, collaboration, and continuous learning.
• Cross-Functional Collaboration:
  
  Partner closely with other capability leads to embed AI capabilities and ensure security is integrated into all solutions.
• Evangelize & Educate:
  Act as the primary internal and external evangelist for the practice's AI capabilities, communicating value to technical and non-technical stakeholders.

• 10+ years of experience in technology, with at least 5+ years in a senior leadership role focused on AI, Machine Learning, or Data Science.
• Proven track record of building and shipping AI/ML products or services from concept to production.
• Deep technical expertise in defining and implementing architectures for AIOps, MLOps, and cloud-native AI platforms (AWS, Azure, or Google Cloud Platform).
• Proven experience designing and executing GTM strategies for new technology services.
• Demonstrated ability to build and maintain C-level relationships and drive account expansion (upsell/cross-sell) within existing clients.
• Experience building and leading high-performing technical teams.
• Strong client-facing and communication skills, with the ability to act as a strategic advisor to C-level executives.
• Strong business acumen, with experience in developing pricing models, ROI justifications, and measuring the business value of technology solutions.
• Deep understanding of AI ethics, data privacy regulations,…