Capability Lead – Operations & AI​/ML

Overview

Randstad Digital is actively seeking a Capability Lead to join our team.

Capability building, solutions design, AI, ML, Intelligent Operations, AIOps, MLOps, Cloud, and Go‑to‑Market strategy are required.

Location:

Telecommute

Job Type: Solutions

Salary: $75–80 per hour

Work Hours:

9am – 5pm

Education:

Bachelors

• Lead AI‑Driven Service Strategy and embed intelligent operations across the service portfolio.
• Collaborate with global stakeholders to design, package, and market new high‑impact consulting and managed service offerings.
• Develop and execute end‑to‑end Go‑to‑Market (GTM) strategies for AI/ML service offerings.
• Create and manage a scalable sales enablement program, equipping teams with collateral, training, and tools.
• Lead the development and curation of the practice’s Intellectual Property (IP) including code accelerators, standardized SOWs, and delivery frameworks.
• Identify, select, and manage the AI partner ecosystem for embedded AI technologies and AI for Operations toolsets.
• Act as a trusted advisor to client executives, nurturing senior relationships and shaping new opportunities for strategic account growth.
• Partner with leadership to develop financial models, ROI calculators, and business value assessments for new and existing offerings.
• Define and report on Key Performance Indicators (KPIs) for the practice, including solution ROI, client adoption, and operational efficiency gains.
• Establish and govern reference architectures for AIOps, MLOps, cloud‑native AI platforms, and Generative AI solutions.
• Build and enforce best practices for the machine learning lifecycle (MLOps), including data pipelines, model training, CI/CD, deployment, and governance.
• Champion responsible AI governance, ensuring ethical, transparent, and compliant deployment of solutions.
• Drive innovation by staying at the forefront of AI/ML advancements and rapid prototyping of new solutions.
• Implement robust monitoring systems to ensure the performance, reliability, and stability of deployed AI/ML models.
• Recruit, lead, and mentor AI engineers, MLOps specialists, and data scientists, fostering a culture of innovation and continuous learning.
• Partner with other capability leads to embed AI capabilities and integrate security into all solutions.
• 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 technology experience, with at least 5 years in senior leadership focused on AI, ML, or Data Science.
• Proven track record of building and shipping AI/ML products or services from concept to production.
• Deep technical expertise in AIOps, MLOps, and cloud‑native AI platforms (AWS, Azure, or GCP).
• Experience designing and executing GTM strategies for new technology services.
• Ability to build and maintain C‑level relationships and drive account expansion.
• Experience building and leading high‑performing technical teams.
• Strong client‑facing and communication skills; strategic advisor to C‑level executives.
• Strong business acumen, including pricing models, ROI justifications, and measuring business value of technology solutions.
• Deep understanding of AI ethics, data privacy regulations, and governance frameworks.
• Bachelor’s degree in Computer Science, Engineering, Statistics, or equivalent experience.

• Hands‑on experience with Generative AI, Large Language Models, and Retrieval‑Augmented Generation architectures.
• Proficiency with data science and ML tools (Python, SQL, Tensor Flow, PyTorch, Kubeflow).
• Expertise in major ITSM platforms and deep understanding of ITIL processes.
• Familiarity with modern Observability and monitoring platforms (Dynatrace, Datadog, Splunk).
• Experience with IT automation and orchestration tools (Ansible, Terraform) for closed‑loop remediation.
• Experience with conversational AI, intelligent automation, or agentic AI platforms to automate ITSM and business processes.
• Experience with Fin Ops principles and cloud financial management, including cost optimization of AI toolsets.
• Understanding of Sec Ops and integration of AIOps with SIEM/SOAR platforms for threat analysis.
• Experience building and productizing reusable assets, frameworks, and accelerators for consulting or services organizations.
• Experience in a consulting or professional services environment, with a track record of developing service offerings and supporting presales.
• Master’s or PhD in a relevant field.
• Published research.