Manager, Enterprise Data & Analytics

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Are you passionate about turning data into measurable business value? Do you thrive in building modern data platforms, leading high-performing teams, and shaping enterprise strategy? If so, we're looking for a Manager, Enterprise Data & Analytics to lead the next evolution of our data capabilities.

In this role, you'll lead our enterprise data and analytics function, driving a modern, cloud-based data strategy and delivering trusted insights across the organization. You'll play a key role in transforming how data is managed, accessed, and used to power decision-making.

Key areas of focus:

• Lead enterprise data strategy and roadmap aligned to business priorities
• Drive modernization to the cloud (Microsoft Azure / Fabric) and build a scalable data platform
• Oversee enterprise data warehouse and analytics ecosystem
• Establish a "single source of truth" for reporting and KPIs across the organization
• Enable self-service analytics and BI while improving governance and data quality
• Partner across IT and business teams to deliver impactful analytics solutions
• Build, lead, and develop a team (~20+ professionals) across data engineering, BI, governance, and integration

• Execute a new IT and data roadmap, with emphasis on Azure-based solutions
• Strengthen and stabilize database and data platform operations
• Evolve and potentially rebuild BI capabilities to better support the business
• Help unify data across systems into a cohesive, enterprise-wide experience

We're looking for a strong mix of technical expertise, leadership, and business mindset:

• Experience leading enterprise data, analytics, or platform teams
• Background in data architecture, data warehousing, and analytics delivery
• Hands-on experience with cloud platforms (preferably Microsoft Azure)
• Strong understanding of BI tools, reporting strategy, and data governance
• Ability to translate data into practical business insights and outcomes
• Proven experience building trust, developing teams, and driving change
• Familiarity with modern data ecosystems

• High impact: Shape enterprise-wide data strategy and influence key business decisions
• Modern tech stack: Lead transformation to Azure and next-generation data platforms
• Leadership opportunity: Manage a large, diverse team and help elevate capabilities across the organization
• Growth and innovation: Partner with emerging AI and analytics initiatives

Full Job Description

Position Description

The Manager, Enterprise Data & Analytics leads UNS's enterprise data and analytics function to enable trusted, secure, and scalable data capabilities that deliver measurable business outcomes. This role is accountable for establishing a modern enterprise data strategy and operating model, implementing a robust Enterprise Data Warehouse capability, scaling analytics from self-service BI to advanced analytics, and building enterprise-wide data literacy. As the Enterprise Data and Analytics CoE matures, this role is expected to operate with enterprisewide scope and influence, functioning as a senior IT role aligned with the broader IT strategy.

This leader builds and manages a team that spans data governance and quality, data architecture and engineering, DataOps and platform operations, middleware/integration, self-service analytics and BI, and advanced analytics in partnership with the AI & Automation CoE. The role ensures data is trustworthy, accessible, and secure across the enterprise, aligning data investments with corporate strategy, regulatory/market readiness needs, and prioritized use cases.

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, and master/reference data practices
  • Data issue management (triage, remediation, root cause)
  • 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 pipelines, monitoring, and lifecycle responsibilities).

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 where relevant) 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

• Ensure that the Company's management principles, policies and programs are consistently practiced and continually support the Affirmative Action Plan.
• Assume fiduciary responsibility for operating the business and provide recommendations on cost improvement measures.
• Ensure that the Performance Management program is administered uniformly and effectively.
• Comply with and administer the terms and conditions of the Collective Bargaining Agreement when applicable.
• Administers personnel functions, including recruiting, review and approval of job descriptions and salary classifications, and selection and placement of personnel.Participates in hiring, termination, promoting, assignment and direction of staff. Ensure compliance with all applicable local, state and federal laws, regulations and standards, company policies, practices and ethical obligations to investigate, evaluate and recommend appropriate resolution to employee complaints.
• Promotes and participates in the professional development, personal growth and career planning of staff.Motivate, recognize and reward, coach, counsel, train; provide feedback to employees during performance reviews.Participates in Leadership Development programs.
• Addresses disciplinary and/or performance issues, according to company policy, and communicates effectively with employees regarding corrective action. Has input into the adjustment of grievances and administration of discipline.
• Plans day-to-day operations, estimates personnel needs and schedules and assigns work. Evaluate the structure and team plan for continual improvement of the efficiency and effectiveness of the group.

Knowledge, Skills & Abilities

(Equivalent combination of education and experience will be considered.)

Minimum 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+ Experience leading, mentoring, or managing analytics and data engineering professionals, including performance development and work prioritization.
• Proven track record implementing hybrid cloud/on-prem data platforms and governing self-service BI programs (semantic models, certified datasets).
• Demonstrated partnership with Cybersecurity/ECS and audit stakeholders; working knowledge of 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 measured analytics outcomes.

Preferred Qualifications:

• Experience implementing and operating enterprise data warehouse solutions at scale (including dimensional modeling and semantic layer strategies).
• 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 for data strategy and architecture.
• Relevant certifications (preferred): cloud data platform, data governance, or analytics certifications.

ADA Requirements and Physical Demands:

The physical demands as described are representative of those that must be met by the person in this position to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Office Work:
  • Sit, Stand, Walk and Bend: This position regularly requires prolonged periods of sitting. Occasionally requires standing, walking, or bending for short periods of time.
  • Use of Hands/Fingers: To operate a computer, keyboard, mouse, and other office equipment.
  • Speech/Hearing: This position frequently communicates with others via phone and in-person.
  • Visual Acuity: For reviewing detailed operational reports.
• Lifting: Ability to lift and carry items weighing up to 15 pounds, as needed.
• Safety Sensitive: This position does not perform safety sensitive functions.
• Travel: Regular travel to operational sites, industry events, and stakeholder meetings.