Lead and coordinate cybersecurity compliance activities for SFPUC’s technology and operational environments, ensuring adherence to regulations and internal policies.
Compensation
Annual Salary: $171,158 to $215,306
Responsibilities
Manage SFPUC cybersecurity policies, standards and guidelines
Ensure alignment with COIT, City’s Office of Cybersecurity, OCA and Mayor’s directives
Manage cybersecurity compliance program for IT and OT
Track and report compliance to internal policies and standards
Ensure regulatory and privacy compliance
Requirements
Associate degree in computer science, computer engineering, information systems, or closely related field, or equivalent in credits
Minimum 60 semester or 90 quarter credits with 20 semester or 30 quarter credits in relevant field
Expand business opportunities for chromatography and mass spectrometry in the Japanese industrial sector. Requires understanding customer testing/analysis workflows, identifying promising leads, and coordinating technical/sales resources to support customer outcomes and sustainable growth.
Responsibilities
Develop and execute market development plans for customers in the assigned industry.
Identify challenges and analytical workflows where chromatography and mass spectrometry solutions lead to customer value.
Lead technical needs identification, solution design, product demos, evaluations, and value-based proposals and negotiations.
Build relationships with lab managers, analysts, quality departments, technical decision-makers, and procurement departments.
Collaborate with CMD stakeholders (account leaders, applications, service, marketing) to provide a consistent customer experience.
The Senior Artificial Intelligence (AI) Architect provides enterprise level architecture leadership for the agency’s adoption of AI, shaping strategy and delivering secure, scalable and responsible solutions aligned with business priorities.
Develop and maintain the agency’s AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps.
Translate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures.
Assess AI opportunities, platforms, models and tools against strategic alignment, business and public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency.
Define and assure architecture patterns, guardrails and controls across the AI lifecycle for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies.
Provide architecture assurance and clear advice on options, trade-offs and risks to senior stakeholders and governance forums.
Requirements
Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security
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