Senior Manager ML Ops & Enablement Platforms

ICW Group • San Diego, CA

21d • $160,746 - $287,738 • Hybrid

About The Position

Are you looking to make an impactful difference in your work, yourself, and your community? Why settle for just a job when you can land a career? At ICW Group, we are hiring team members who are ready to use their skills, curiosity, and drive to be part of our journey as we strive to transform the insurance carrier space. We're proud to be in business for over 50 years, and its change agents like yourself that will help us continue to deliver our mission to create the best insurance experience possible. Headquartered in San Diego with regional offices located throughout the United States, ICW Group has been named for ten consecutive years as a Top 50 performing P&C organization offering the stability of a large, profitable and growing company combined with a focus on all things people. It's our team members who make us an employer of choice and the vibrant company we are today. We strive to make both our internal and external communities better everyday! Learn more about why you want to be here! PURPOSE OF THE JOB The Senior Manager of Machine Learning Operations (ML Ops) and Enablement Platforms is responsible for the day-to-day leadership of the ML Ops and Enablement Platforms team, implementing technological initiatives with business goals to deliver scalable, efficient solutions across the enterprise. This role is responsible for contributing towards the design, implementation, and execution of the ML Ops cloud capabilities. This role oversees the development, integration, and continuous improvement of key platforms, with a strong emphasis on SaaS solutions. In addition to cloud-based ML Ops infrastructure design and execution, the manager will be accountable for the performance and evolution of critical enablement tools driving innovation in automation and content management workflows to support enterprise-wide growth and agility.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field required.
• Minimum of 10 years of relevant experience in IT or enablement platforms, including 5 years in management roles.
• Fluent in AI and ML terminology, concepts, and best practices on cloud platforms.
• Experience in systems design, from business requirements analysis through day-to-day platform management, is required.
• Expertise in optimizing automation workflows and operational processes, ensuring efficiency and scalability.
• Skilled in tactical and operational planning, budgeting, project management, and policy development to support organizational initiatives.
• Strong understanding of ML lifecycle, MLOps, and cloud-native architectures.
• Excellent leadership, communication, and stakeholder management skills.
• Proficiency in Microsoft Office Suite and strong communication skills to enable effective collaboration across all levels.
• Possess excellent problem-solving and time management abilities, driving innovation and continuous improvement in automation and operational strategies.
• Proficient in maintaining, troubleshooting, and evolving older technologies to align with current operational needs, minimizing disruptions and optimizing system performance.

Nice To Haves

• Ability to demonstrate professional experience or self-driven interest and education in AI and ML a plus.
• Certifications such as Certified DataOps Professional, TOGAF® 9 Certified – Enterprise Architecture, or ITIL® 4 Leader: Digital & IT Strategy desirable and considered a plus.

Responsibilities

• Develops and manages enablement platform portfolios for each department.
• Defines and executes the vision for ML enablement platforms, ensuring alignment with business objectives and technology strategy.
• Leads and mentors a team of ML Ops engineers in designing, building, and maintaining scalable infrastructure and tooling to support the full machine learning lifecycle.
• Establishes best practices and standards for model deployment, versioning, monitoring, CI/CD pipelines, and related automation.
• Collaborates with data scientists, ML engineers and enterprise platform teams to streamline workflows and ensure integration of ML solutions into production.
• Manages the daily operations of enterprise enablement platforms, ensuring consistent performance, timely issue resolution, and alignment with business needs.
• Oversees the configuration, maintenance, and enhancement of platforms such as OpenText ECM, UC4 workload automation, and InRule to support automation and workflow efficiency.
• Coordinates platform updates, patching schedules, and system integrations to minimize downtime and ensure seamless functionality across teams.
• Implements and monitors operational procedures and standards for platform usage, focusing on reliability, usability, and compliance.
• Supports cross-functional teams by enabling platform capabilities that streamline business processes and reduce manual effort.
• Handles vendor coordination, licensing, and support escalations for third-party tools like JIRA and InRule to ensure service continuity and value.
• Tracks and reports on platform performance metrics, identifying areas for improvement and implementing corrective actions as needed.
• Maintains documentation for platform configurations, operational procedures, and user guides to support knowledge sharing and onboarding.
• Drives adoption of ML platforms across data science and analytics teams, providing training and support.
• Provides support and integration of legacy systems, ensuring continued functionality while facilitating modernization efforts.
• Develops and leads a team of ML Ops and Enablement Platform professionals.
• Provides tactical direction to the MP Ops and Enablement Platforms team, communicating organizational mission and values, building strategic roadmaps and setting standards for performance excellence.
• Facilitates onboarding and training for new team members, ensuring they are equipped to manage and support enablement platforms effectively.
• Leads and expands the ML Ops Platform team, with an emphasis on delivery, team building, and technical leadership.
• Leads a team of platform specialists, providing hands-on guidance, task prioritization, and performance feedback to ensure operational excellence.
• Establishes a collaborative team culture, ensuring high engagement, recognition, and retention of team members.
• Ensures leadership practices promote development and high performance.
• Manages hiring, onboarding, and training for incoming staff, setting expectations and developing career paths to build a resilient and skilled team.

Benefits

• We offer a competitive benefits package, with generous medical, dental, and vision plans as well as 401K retirement plans and company match
• Bonus potential for all positions
• Paid Time Off with an accrual rate of 5.23 hours per pay period (equal to 17 days per year)
• 11 paid holidays throughout the calendar year
• Want to continue learning? We’ll support you 100%

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees