Capability lead

job summary:
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.

Job Duties -

1. 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.

2 Technical & Architectural Leadership

--Define Technical Architectures: Establish and govern the reference architectures for AIOps (AI for IT Operations), 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.

3. Team & Practice Leadership

--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.

#LI-NL1 #LI-Remote

location: Telecommute
job type: Solutions
salary: $75 - 80 per hour
work hours: 9am to 5pm
education: Bachelors

responsibilities:
Job Duties -

1. 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.

2 Technical & Architectural Leadership

--Define Technical Architectures: Establish and govern the reference architectures for AIOps (AI for IT Operations), 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.

3 Team & Practice Leadership

--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.

qualifications:
-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 GCP).

--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, and model governance frameworks.

--Bachelor's degree in Computer Science, Engineering, Statistics, or equivalent experience.

Desired Skills & experience -

-Hands-on experience with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures.

--Proficiency with common data science and ML tools (e.g., Python, SQL, TensorFlow, PyTorch, Kubeflow).

--Expertise in major ITSM platforms and a deep understanding of ITIL processes (incident, problem, change management).

--Deep familiarity with modern Observability and monitoring platforms (e.g., Dynatrace, Datadog, Splunk) and data sources (logs, metrics, traces).

--Experience with IT automation and orchestration tools (e.g., Ansible, Terraform) to enable 'closed-loop' remediation.

--Experience with conversational AI, intelligent automation, or agentic AI platforms to automate ITSM and business processes.

--Experience with FinOps principles and cloud financial management, including the cost optimization and forecasting of AI toolsets.

--Understanding of SecOps, including the integration of AIOps with SIEM/SOAR platforms for correlated threat and operational event analysis.

--Experience in building and productizing reusable assets, frameworks, and accelerators for a consulting or services organization.

--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 or active participation in the AI/ML community (e.g., conference speaker, open-source contributor).

Remote role - 25% travel

#LI-NL1 #LI-Remote

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.