Manager - AI and Analytics

About the role

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

What We Offer

Salary: $184,000.00 – $253,000.00
Location: Santa Clara, CA

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company.

Responsibilities

• Negotiate with customers to architect and design business intelligence and data management application and platform solutions to address complex cross-functional and technical needs, and convert design to functional and technical specifications.
• Identify and recommend industry best-known methods for integrated solution design and standards.
• Manage BI, Big Data and AI/ML software application and platform configuration and/or coding, including query and report building, dashboard creation, and master data and integration object development.
• Introduce and manage best-known methods for delivery of self-service models.
• Responsible for the Data Science lifecycle including data curation, model build, test and deployment.
• Lead overall testing (unit, integration, performance, acceptance) and data conversions using standard tools and following established processes and guidelines.
• Oversee contingent workers performing configuration, coding and object development work.
• Perform quality assurance.
• Manage the execution of BI application and platform evaluations and proofs of concept.
• Assess vendor strategies, roadmaps and next-generation technologies, and recommend changes to architectural strategy and technology roadmap.
• Manage personnel providing business intelligence, big data or AI/ML application and platform support services to meet performance, availability, customer service level agreement, and customer satisfaction targets.
• Monitor specific IT systems or set of systems for availability, performance and capabilities and report anomalies through predefined process.
• Manage completion of root cause analysis and resolution of complex outages or incident trends working with infrastructure and technical teams, support providers and application vendors.
• Recommend and execute required corrective actions.
• Participate in evaluation and recommendation of patches, point releases, major upgrades and new systems.
• Deliver and manage personnel responsible for the delivery of BI, Big Data and AI/ML project and support services within area of responsibility within allocated budget.
• Develop project budgets; develop understanding of cost model and cost drivers for service(s) and recommend service area budgets and cost optimization activities.
• May be responsible for timely renewal of maintenance and subscription contracts.
• Adhere to and manage junior staff to adhere to GIS project management, software application development, testing, service management, change management, RCA and other relevant processes, standards, governance and controls.
• May manage execution of SOX controls and testing, and support internal and external audits.
• Plan and manage medium to large scale Business Intelligence, Big Data or AI/ML application or platform projects to ensure effective and efficient execution in line with guardrails of scope, timeline, budget and quality.
• May serve as a Business Intelligence, Big Data, or AI/ML team lead on a large, complex, cross-functional project.
• May manage junior project managers.
• Oversee/manage contingent workers performing Business Intelligence, Big Data and AI/ML project and/or support services.
• Responsible for the selection, onboarding and offboarding of contingent workers in a timely manner.
• Manage contingent worker project/task assignments and ensure work product quality.
• Approve contingent worker timesheets/cost.

Qualifications

• Functional Knowledge: Demonstrates in-depth understanding of concepts, theories and principles in own job family and basic knowledge of other related job families.
• Business Expertise: Applies understanding of the industry and how own area contributes to the achievement of objectives.
• Leadership: Manages a generally homogeneous team; adapts plans and priorities to meet service and/or operational challenges.
• Problem Solving: Identifies and resolves technical, operational and organizational problems.
• Impact: Impacts the level of service and the team’s ability to meet quality, volume, and timeliness objectives.
• Interpersonal Skills: Guides, influences and persuades others internally in related areas or externally.

Additional Information

Time Type: Full time
Employee Type: Assignee / Regular
Travel: Not Specified
Relocation Eligible: Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.