Job Description Summary
The Enterprise Analytics Support Lead will be reporting to the Vernova Data & Analytics – Data Operations organization within Digital Technology at GE Vernova. This role is responsible for leading support operations for Enterprise Analytics reports, data products, data pipelines, and reporting services that enable critical business processes across Finance, Treasury, Sourcing, and Payroll. A key focus of the role is ensuring the stability, quality, and availability of analytics solutions that support critical financial closing processes.
The person in this role will lead a large contractor support team and partner closely with Finance COE, functional stakeholders, upstream application teams, downstream consumers, platform teams, and development teams to ensure reliable analytics operations, strong governance, timely issue resolution, and continuous improvement.
Job Description
What you will do:
● Lead day-to-day support operations for Enterprise Analytics solutions supporting
Finance, Treasury, Sourcing, and Payroll
, ensuring stable, high-quality, and business-aligned service delivery.
● Coordinate and oversee a large contractor support team, driving operational discipline, issue prioritization, escalation management, and service performance across the enterprise analytics landscape.
● Lead monitoring and support of
data pipelines, ingestion processes, orchestration jobs, and reporting dependencies
, ensuring timely identification and resolution of failures, delays, and data outages.
● Oversee
data availability, latency, completeness, and accuracy monitoring
for critical enterprise datasets and reports, with strong focus on business continuity and close-period readiness.
● Lead
functional data audit and reconciliation support
across source-to-report flows, partnering with business, audit, and technical teams to validate data integrity and resolve data exceptions.
● Drive
data issue analysis and resolution
, coordinating root cause analysis and recovery actions across source applications, engineering teams, reporting operations, and business stakeholders.
● Oversee
reporting operations performance and availability
, ensuring critical reports, dashboards, and reporting services remain reliable and performant for end users.
● Lead
end-user support and communications
for report issues, access concerns, data questions, and known outages or delays, ensuring clear, proactive, and timely communication to impacted users.
● Provide operational leadership for
monthly, quarterly, and annual financial close support
, ensuring heightened monitoring, rapid issue triage, and strong cross-team coordination during critical close windows.
● Ensure
SOX audit readiness and support
, including operational process discipline, evidence management, documentation, and support for internal and external audit requirements.
● Partner with development and engineering teams on
code optimization and performance tuning
to improve pipeline stability, report performance, and overall supportability of analytics solutions.
● Collaborate closely with
Finance COE
, upstream source system teams, downstream application teams, reporting operations teams, and platform teams to improve end-to-end service reliability and issue resolution.
● Support
release management collaboration
, including release readiness, production validation, deployment coordination, and post-release stabilization for changes impacting enterprise analytics services.
● Drive
continuous improvement
across support processes, post-mortem reviews, SOPs, monitoring, issue prevention, and service delivery practices.
What you will bring:
● Bachelor’s degree from an accredited university or college, or equivalent knowledge and experience.
● Advanced experience in
Data & Analytics, analytics/reporting support, enterprise data operations, or digital technology application support
.
● Demonstrated experience supporting enterprise reporting and analytics solutions in a complex business environment.
● Good understanding of
financial processes
, with experience supporting analytics or reporting solutions used in
financial close, controllership, finance operations, treasury, sourcing, or payroll-related processes
.
● Experience coordinating operational support in environments requiring strong incident management, issue resolution, stakeholder communication, and service level performance.
● Working knowledge of
data pipelines, data quality monitoring, reporting operations, and enterprise support models
.
● Experience supporting applications, reports, or data environments with
SOX/compliance
requirements.
● Proven ability to work across global, matrixed teams and drive outcomes
without direct people leadership
.
● Strong analytical, problem-solving, and decision-making skills, with ability to manage multiple priorities in a business-critical environment.
● Strong written and verbal communication skills, with ability to communicate effectively across technical teams, business users, and leadership stakeholders.
What will make you stand out:
● Experience supporting enterprise BI and analytics platforms such as
Power BI, Tableau, OAS (Oracle Analytics)
or similar reporting tools.
● Strong understanding of enterprise analytics support disciplines, including
data pipeline monitoring, data quality oversight, reconciliation/audit support, and reporting operations
.
● Strong understanding and experience with data platforms, orchestration tools, ingestion frameworks, and operational monitoring capabilities, such as Databricks and Airflow.
● Strong understanding of the importance of
data integrity, timeliness, and availability
in supporting
financial close and controllership processes
.
● Experience working in a
SOX-controlled
, audit-sensitive, or highly regulated enterprise environment.
● Demonstrated ability to lead through influence across contractor teams, technical teams, and functional stakeholders in a matrixed organization.
● Strong customer focus and ability to communicate calmly and effectively during incidents, outages, and close-period escalations.
● Experience with
release management, production validation, and post-release stabilization
in analytics or enterprise data environments.
● Familiarity with
Lean, Agile, DevOps, and continuous improvement
practices.
● Proven ability to identify recurring issue patterns, drive root cause elimination, and improve service resilience and operational performance.
● Global mindset with experience collaborating across teams, functions, and geographies.
Additional Information
Relocation Assistance Provided:
No
