conEdison logo

Systems Manager - Google Cloud Platform, Enterprise Data & Analytics

conEdison

New York, NYJobNo compensation foundPosted 2mo agoSeen in employer's feed 3 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

At a glance

Compensation
No compensation found
Location
New York, NY
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degreeDriver's License

Job overview

conEdison is hiring a Systems Manager - Google Cloud Platform, Enterprise Data & Analytics. The Systems Manager for Google Cloud Platform, Enterprise Data & Analytics leads strategy, engineering, and operations for enterprise data platforms on GCP. This role requires deep expertise in BigQuery and other AI/ML/LLM/Analytics GCP services. Responsibilities include end-to-end ownership of data platforms, overseeing BigQuery architecture, and communicating platform health and risks to senior leadership. The manager will also implement secure data ingestion services and partner with various teams to translate data strategy into production solutions.

Key focus areas include Lead enterprise data platform strategy and engineering on GCP, Own end-to-end enterprise data platform operations, and Oversee BigQuery architecture, capacity planning, and cost management.

Successful candidates bring Master's Degree In Computer Science, Bachelor's Degree In Computer Science, and Driver's License. Important skills include BigQuery, Dataplex, Knowledge Catalog, Vertex AI, Agent Platform, and Machine Learning. Preferred (not required): Intake Services, IAM, Cryptography, and Auditability.

Skills & qualifications

RequiredNice to have

Skills

BigQueryDataplexKnowledge CatalogVertex AIAgent PlatformMachine LearningLLMAnalytics GCP ServicesData IngestionData TransformationData GovernancePerformance ManagementCapacity PlanningPerformance OptimizationCost ManagementCommunicate Platform HealthCommunicate RisksCommunicate Cost PostureCommunicate Delivery ProgressCommunicationBuilds Effective TeamsManages Effective TeamsAdaptabilityWork Within Tight TimeframesMeet Strict DeadlinesProblem SolvingInterpersonal SkillsDrive Multiple Projects to CompletionTime ManagementPriority SettingHandle Multiple PrioritiesWell OrganizedDetail OrientedIntake ServicesIAMCryptographyAuditabilityDesigning Scalable Data PlatformsOperating Scalable Data PlatformsDesigning Reliable Data PlatformsOperating Reliable Data PlatformsDesigning Cost-Efficient Data PlatformsOperating Cost-Efficient Data PlatformsData QualityData SecurityData PrivacyComplianceDelivery PlanningContinuous Improvement Initiatives

Qualifications

Master's Degree in Computer Science, Engineering, Math, Business, or Technology-Centric Field6 Years Relevant Full-Time Work ExperienceLeading Enterprise Data Platform Strategy, Engineering, and Operations on GCPEnd-to-End Ownership of Enterprise Data PlatformsOverseeing BigQuery Architecture, Capacity Planning, Performance Optimization, and Cost ManagementDriver's LicenseAvailable to Work Off HoursImplementing and Operating Secure Data Ingestion and Intake ServicesDesigning and Operating Scalable, Reliable, and Cost-Efficient Data PlatformsEnforce Enterprise Standards for Data Quality, Security, Privacy, and CompliancePartnering With Data Governance, Analytics, AI and ML, and Application TeamsManaging Internal Engineering Teams and External Vendors

Full job description

Required Education/Experience

  • Master's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 6 years relevant full-time work experience or

  • Bachelor's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 8 years relevant full-time work experience

Relevant Work Experience

  • Demonstrated experience leading enterprise data platform strategy, engineering, and operations on GCP, with deep expertise in BigQuery and one or more of Dataplex / Knowledge Catalog and Vertex AI / Agent Platform, other AI / ML / LLM / Analytics GCP services, required

  • Proven end-to-end ownership of enterprise data platforms, including data ingestion, transformation, governance, and performance management, required

  • Hands on experience overseeing BigQuery architecture, capacity planning, performance optimization, and cost management in large scale environments, required

  • Ability to communicate platform health, risks, cost posture, and delivery progress to senior leadership and enterprise stakeholders, required

  • Proven track record implementing and operating secure data ingestion and intake services with strong controls for access management, encryption, and auditability, preferred

  • Strong background designing and operating scalable, reliable, and cost-efficient data platforms that support analytics, regulatory reporting, and AI and ML initiatives, preferred

  • Demonstrated ability to enforce enterprise standards for data quality, security, privacy, and compliance across the full data lifecycle, preferred

  • Experience partnering closely with Data Governance, Analytics, AI and ML, and Application teams to translate enterprise data strategy into production grade solutions, preferred

  • Experience managing internal engineering teams and external vendors, including delivery planning, performance management, and continuous improvement initiatives, preferred

  • Demonstrated experience operating mission critical data platforms with high availability, operational resilience, and well-defined incident and recovery processes, preferred

Skills and Abilities

  • Strong written and verbal communication skills

  • Builds and manages effective teams

  • Possesses flexibility to work in a fast paced, dynamic environment

  • Ability to work within tight timeframes and meet strict deadlines

  • Demonstrated problem solving skills

  • Effective interpersonal skills

  • Ability to drive multiple projects to successful completion

  • Demonstrated time management and priority setting skills

  • Ability to simultaneously handle multiple priorities

  • Well organized, detail oriented and flexible to handle multiple assignments

Licenses and Certifications

  • Driver's License Required

  • Other: Technical certification(s) in IT Preferred

  • Other: Google Professional Cloud Architect Preferred

  • Other: Google Professional Data Engineer Preferred

  • Other: Google Associate Cloud Engineer Preferred

Physical Demands

  • Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

Additional Physical Demands

  • The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.

  • Available to work off hours as operationally required

EEO Statement:

Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) are equal opportunity employers. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of the individual’s actual or perceived disability, protected veteran status, race, color, creed, religion, sex, age, national origin, gender, gender identity, gender expression, genetic information, marital status, sexual orientation, citizenship, domestic violence victim status, or any other actual or perceived status protected by law.

Technical Difficulty Statement:

For technical issues, please contact us at [email protected]

You've read the whole posting — now see how you match it.