Lead compliance program administration, technology enablement, process improvement, analytics, and regulatory implementation to strengthen the effectiveness and maturity of the Compliance Program.
Compensation
Base Pay Range: $92,400 to $115,000 annually
Responsibilities
Lead and support compliance program administration activities, initiatives, and projects designed to strengthen the effectiveness, scalability, and maturity of the Compliance Program.
Identify opportunities to leverage technology, analytics, workflow automation, and artificial intelligence to improve Compliance Program effectiveness, operational efficiency, and regulatory compliance.
Support the implementation, optimization, administration, and continuous improvement of compliance technology platforms, reporting solutions, regulatory libraries, and workflow management tools.
Coordinate and monitor implementation of federal and state regulatory requirements, ensuring actions are assigned, tracked, documented, and completed in collaboration with Compliance and business stakeholders.
Serve as a liaison between Compliance, business operations, and technology teams to facilitate successful project execution, regulatory implementation, and program initiatives.
Lead strategic transformation and process excellence initiatives within Google Operations Center’s Innovation & Transformation Office, integrating Lean Six Sigma, AI-driven insights, and digital automation to optimize global service models.
Compensation
We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage
Responsibilities
Serve as a Transformation Lead for aligned workflows
Design and deliver long-term future-state operating models
Spearhead customer experience agenda and service models
Use data mining and Lean Six Sigma to reduce process variation
Design resilience frameworks for operational risk mitigation
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: Certified Lean Six Sigma Black Belt
Nice to have: Proficiency in Prompting and using GenAI
Lead strategic transformation and process excellence initiatives across global operations, integrating Lean Six Sigma, AI-driven insights, and automation to optimize service models and deliver business impact.
Responsibilities
Design and deliver long-term future-state operating models
Spearhead customer experience agenda and service model development
Conduct data mining and Lean Six Sigma analyses to reduce process variation
Design resilience frameworks for operational risk mitigation
Benchmark industry standards and align internal workflows
Requirements
Bachelor’s degree or equivalent practical experience
Operates at the intersection of engineering, consulting, and delivery, embedding with client teams to take AI and automation solutions from early validation to stable, adopted systems.
Responsibilities
Translating high-value business challenges into working prototypes and proofs of concept.
Acting as the technical counterpart to client stakeholders, building trust through tangible outcomes.
Designing and building AI-enabled and automated solutions (e.g. agentic workflows, decision-support tools, LLM applications) using tools such as Claude, n8n, and other low-code/no-code platforms.
Making pragmatic trade-offs between scope, speed, cost, and maintainability to maximise delivery impact.
Applying a product mindset by defining success metrics, gathering feedback, and iterating solutions.
The role combines owning Workday back-end operations and acting as the technical partner to the Operational Excellence team on AI projects, turning ideas into prototypes and solutions.
Locations (2)
Warsaw, Mazovia, Poland
Poland
Compensation
Base salary with annual bonus structure
Responsibilities
Help shape the technology-enabled improvements across GPSD processes and platforms.
Identify and implement opportunities for automation, AI, and process digitization.
Support Workday and other system enhancements, including requirements, testing, and implementation.
Partner with IT and other technical teams to translate operational needs into scalable solutions.
Improve data, reporting, dashboards, and operational insights.
Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Lead efforts to optimize application configurations to enhance system performance and user experience
Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability using standard tools, APIs, and low-code platforms.
Responsibilities
Configure and support packaged or SaaS applications to tailor features according to evolving business requirements
Manage application releases and ensure overall stability and performance
Collaborate with cross-functional teams to gather requirements and implement application enhancements
Monitor system performance and troubleshoot issues
Document configuration changes and maintain knowledge base
Lead engineering of identity, SaaS, access governance, and internal application capabilities for Microsoft AI.
Locations (3)
Mountain View, California, United States
Redmond, Washington, United States
New York, New York, United States
Compensation
Security Operations Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Own divisional corporate technology problems from discovery through requirements, architecture, implementation, deployment, adoption, operation, measurement, and continuous improvement
Maintain a current inventory of the SaaS, identity, application, and integration surface Microsoft AI owns or configures
Be the resident automation guru who gets AI right the first time
Compensation
Pay range: $85,000-$90,000
Responsibilities
Partner with cross-functional teams to document current-state workflows and identify manual tasks, bottlenecks, and standardization opportunities.
Evaluate processes before automating, then build proof-of-concept solutions with approved AI tools, low-code/no-code platforms, and APIs.
Translate business needs into functional specifications, workflow logic, user stories, and acceptance criteria.
Maintain and prioritize a centralized pipeline of process improvement and automation projects by value, feasibility, cost, and risk.
Coordinate pilots, UAT, documentation, deployment, and training to support adoption of new AI-enabled workflows.
Requirements
Bachelor's degree in Business Administration, Information Systems, Operations Management, Supply Chain Management, Industrial Engineering, or a related field, or equivalent practical experience.
Engineer identity and access capabilities using Entra and connected systems
Build internal applications, automations, integrations, and self-service workflows using low-code/no-code platforms, APIs, event-driven services, configuration as code, and conventional software engineering
Requirements
Doctorate in Statistics, Mathematics, Computer Science, or related field
Master's Degree in Statistics, Mathematics, Computer Science, or related field
Bachelor's Degree in Statistics, Mathematics, Computer Science, or related field
Nice to have: Doctorate in Statistics, Mathematics, Computer Science, or related field AND 5+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection
Nice to have: Master's Degree in Statistics, Mathematics, Computer Science, or related field AND 8+ years experience in software development lifecycle, large scale computing, threat modeling, cyber security, or anomaly detection
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