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Systems Manager - Data Operations, Enterprise Data & Analytics

conEdison

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

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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 - Data Operations, Enterprise Data & Analytics. The Systems Manager for Data Operations, Enterprise Data & Analytics, will lead technical teams in data engineering, architecture, or platform operations. This role requires demonstrated experience with data modeling, quality frameworks, and integration patterns across cloud and on-premise systems. The manager will partner with architects, engineers, business stakeholders, and governance groups to deliver operational outcomes, defining and managing operational metrics, SLAs, or KPIs for data platforms.

Key focus areas include Lead technical teams in data engineering and platform operations, Design and manage data models, quality frameworks, and integration patterns, and Partner with architects, engineers, stakeholders, and governance groups.

Successful candidates bring Master's Degree in CS/Engineering/Math/Business/Tech, 6+ Years Relevant Full-Time Experience, and Driver's License. Important skills include Data Engineering, Data Architecture, Data Platform Operations, Leading Technical Teams, Data Modeling, and Data Quality Frameworks. Preferred (not required): Implementing Data Governance Standards, Data Contracts, Observability Practices On An Enterprise Analytics Platform, and Google Dataplex.

Skills & qualifications

RequiredNice to have

Skills

Data EngineeringData ArchitectureData Platform OperationsLeading Technical TeamsData ModelingData Quality FrameworksIntegration Patterns Across Cloud and on-Prem Source SystemsPartnering Across Architects, Engineers, Business Stakeholders, and Enterprise Governance GroupsDefining and Managing Operational MetricsSLAsKPIs for Data PlatformsStrong Written CommunicationStrong Verbal CommunicationBuilds and Manages Effective TeamsFlexibility to Work in a Fast Paced, Dynamic EnvironmentAbility to Work Within Tight TimeframesMeet Strict DeadlinesDemonstrated Problem Solving SkillsEffective Interpersonal SkillsAbility to Drive Multiple Projects to Successful CompletionDemonstrated Time ManagementPriority Setting SkillsAbility to Simultaneously Handle Multiple PrioritiesWell OrganizedDetail OrientedFlexible to Handle Multiple AssignmentsImplementing Data Governance StandardsData ContractsObservability Practices on an Enterprise Analytics PlatformGoogle DataplexKnowledge CatalogMicrosoft PurviewUtilities Industry BackgroundEnergy Industry BackgroundRegulated Industries BackgroundCompliance and Data Sensitivity RequirementsAzureAWSGCPDatabricksIntegration Tooling

Qualifications

Master's Degree in Computer Science, Engineering, Math, Business, or Technology-Centric Field or Bachelor's Degree in Computer Science, Engineering, Math, Business, or Technology-Centric Field6 Years Relevant Full-Time Work Experience With Master's DegreeDriver's LicenseTechnical Certification(S) in IT

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 in data engineering, data architecture, or data platform operations, including time spent leading technical teams, required

  • Demonstrated experience with data modeling, data quality frameworks, and integration patterns across cloud and on-prem source systems, required

  • Proven ability to partner across architects, engineers, business stakeholders, and enterprise governance groups to deliver operational outcomes, required

  • Experience defining and managing operational metrics, SLAs, or KPIs for data platforms or similar technical environments, required

  • Experience implementing data governance standards, data contracts, and observability practices on an enterprise analytics platform with integration points back to governance platforms such as Google Dataplex / Knowledge Catalog and Microsoft Purview, preferred

  • Background in utilities, energy, or other regulated industries with exposure to compliance and data sensitivity requirements, preferred

  • Hands-on experience with modern cloud data platforms (such as Azure, AWS, GCP, and/or Databricks) and the integration tooling that supports them, 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

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]

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