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Manager, Enterprise Data & AnalyticsTucson Electric Power Company • Tucson, Arizona, United States
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Manager, Enterprise Data & Analytics

Tucson Electric Power Company
  • US
    Tucson, Arizona, United States
  • US
    Tucson, Arizona, United States
Postuler Maintenant

À propos

Manager, Enterprise Data & Analytics The Manager, Enterprise Data & Analytics leads the enterprise data and analytics function, driving a modern, cloud-based data strategy and delivering trusted insights across the organization.
Key Responsibilities
Establish & Implement Enterprise Data Strategy
Own the enterprise Data Strategy and multi-year roadmap, including current-state assessment, gap analysis, target architecture, and sequenced initiatives.
Establish and maintain a prioritized data & analytics portfolio with value hypotheses, delivery plans, and KPIs; drive cross-functional alignment through steering and governance mechanisms.
Ensure roadmap alignment to corporate strategy, operational priorities, and regulatory/market readiness reporting needs.
Implement Enterprise Data Warehouse
Lead the implementation and evolution of the Enterprise Data Warehouse capability (hybrid onprem/cloud as applicable), including architectural standards, domain modeling approaches, and performance/cost objectives.
Establish reusable design patterns for data ingestion, transformation, semantic modeling, and consumption (BI, analytics, APIs).
Define and manage platform operational expectations: reliability SLOs, recoverability, cost transparency, and performance SLAs.
Data Governance & Stewardship
Establish the enterprise data governance operating model, including data ownership and stewardship roles and responsibilities, policies, standards, glossary, master/reference data practices, data issue management, data quality SLAs, and continuous improvement processes.
Embed privacy, security, and compliance guardrails throughout the data lifecycle in partnership with ECS and IT Governance.
Data Architecture & Engineering
Define and evolve a modern data architecture (warehouse/lake/lakehouse patterns as appropriate), publish reference designs and reusable components.
Lead engineering of reliable data pipelines and APIs with documented lineage, cost transparency, and measurable reliability/performance targets.
Establish standards for enterprise data models, metadata practices, and integration patterns to reduce duplication and improve time-to-value.
DataOps & Middleware / Integration
Stand up and mature DataOps including environment strategy, CI/CD for data assets, automated testing, and observability (catalog, lineage, quality monitoring).
Establish incident playbooks and operational processes for data reliability and recoverability (triage, MTTR, root cause, recurrence reduction).
Govern third-party connectivity and middleware patterns consistent with ECS standards (secure zones, remote access patterns, data loss prevention as applicable).
Self-Service Analytics & BI
Operationalize and govern self-service analytics, including Power BI governance: shared workspaces and standards; semantic models, certified datasets, and usage analytics; reporting and visualization standards.
Coach business analysts and citizen report builders; reduce shadow IT and duplicative reporting through certified data products and reusable assets.
Drive consistent KPI definitions and single source of truth reporting where appropriate.
Strategic Use Cases & Advanced Analytics
Identify, prioritize, and deliver strategic use cases aligned to corporate priorities, including operational, regulatory, customer, and reliability outcomes.
Partner with AI & Automation teams to develop predictive/optimization use cases tied to measurable benefits (forecasting, optimization, decision intelligence).
Ensure robust data foundations and clear handoffs to support production sustainment of advanced analytics solutions.
Data Literacy & Enablement
Establish and run a data literacy program including role-based training, stewardship onboarding, communities of practice, and office hours.
Publish playbooks and reference dashboards for common KPIs and recurring analytics needs.
Drive adoption of certified datasets/semantic models and improve enterprise confidence in data-driven decisions.
Risk, Compliance & Resilience
Ensure alignment to applicable compliance frameworks (e.g., CIP) across data environments, including documentation, audit support, and remediation planning.
Implement backup/recovery and resilience practices for critical data platforms in partnership with ECS and I&O.
Ensure communications protections and secure integration patterns for data movement and third-party connectivity.
Management Responsibilities
Lead management principles, policies and programs; comply with regulatory and internal policies.
Provide recommendations on cost improvement measures; review budgets and cost analyses.
Administer personnel functions, including recruiting, performance management and professional development.
Qualifications
Bachelor's degree
in Information Systems, Computer Science, Data/Analytics, Engineering, or related field (or equivalent experience).
5+ years
of enterprise data/analytics experience with hands‑on delivery across governance, architecture/engineering, BI, and DataOps.
5+ years
of experience leading/mentoring analytics and data engineering professionals.
Proven track record implementing hybrid cloud/on‑prem data platforms and governing self‑service BI programs.
Experience with security, privacy, and compliance controls relevant to data environments.
Strong stakeholder management with Data Owners/Stewards and business leaders; ability to translate enterprise business needs into governed data products and measurable analytics outcomes.
Preferred Qualifications
Experience implementing and operating enterprise data warehouse solutions at scale.
Experience with metadata/master data platforms, lineage catalogs, and cost/performance observability.
Experience governing third‑party integrations and middleware under enterprise security standards.
Experience overseeing consulting SOWs and partner deliverables.
Relevant certifications (cloud data platform, data governance, analytics).
Physical Demands / ADA Requirements The physical demands described are representative of those that must be met by the person in this position to successfully perform the essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions:
Office Work
Sit, Stand, Walk and Bend: prolonged sitting; occasional standing, walking, bending.
Use of Hands/Fingers: operate computer and office equipment.
Speech/Hearing: frequent communication via phone and in‑person.
Visual Acuity: review detailed operational reports.
Lifting
Ability to lift up to 15 pounds.
Safety Sensitive
No safety‑sensitive functions.
Travel
Regular travel to operational sites, industry events, stakeholder meetings.
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  • Tucson, Arizona, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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