Senior Manager Cyber Security

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Date:

Apr 27, 2026

Location:

Shelton, CT, US, 06484-4300

Company:

Hubbell Incorporated

Job Overview

The

AI & Cyber Governance Leader

is responsible for establishing and operationalizing governance for data, analytics, and AI systems across the enterprise. This role drives policy, controls, and lifecycle oversight for traditional analytics and machine learning (ML), including generative AI use cases. The manager will align stakeholders in IT, Security, Legal, Compliance, Privacy, Audit, HR, and business units to ensure that data and AI solutions are

effective, compliant, secure, ethical, and resilient

—and that value delivery is measurable and sustainable.

You will lead governance frameworks, set standards, and implement controls for

model risk management, data quality and lineage, responsible AI, privacy-by-design, third‑party risk, and AI operational monitoring

A Day In The Life

Every Day At Hubbell Is Different And You’ll Contribute In Many Ways. On Any Given Day, You’ll Make a Difference By

- Design, publish, and maintain the AI & Data Governance Framework, integrating NIST AI RMF, ISO/IEC 42001 (AI management systems), ISO/IEC 27001, SOC 2, GDPR/CCPA, and internal risk policies.

- Participate in the AI Governance Council

- Define acceptable use and procurement standards for AI tools (incl. generative AI), covering data protection, IP, confidentiality, model transparency, human oversight, and safe deployment practices.

- Author policies and standards: data classification, data retention, model documentation, bias testing, explainability, incident response, and vendor due diligence for AI/ML.

- Partner with Data Architecture to embed governance into data platforms (e.g., lakehouse, warehouse, analytics, feature stores).

- Build and oversee Model Risk Management (MRM): inventory, tiering, risk assessments, validation/testing, drift/bias monitoring, retraining triggers, and sunsetting procedures.

- Create control libraries for AI/ML (design-to-deploy), including validation, performance metrics, robustness testing, and contingency plans.

- Coordinate privacy impact assessments (PIA/DPIA) and security threat modeling for AI use cases; enforce least privilege and data minimization.

- Partner with Engineering/MLOps to integrate governance into CI/CD for ML models: documentation, approvals, monitoring dashboards, alerts, and rollback.

- Establish model documentation standards: purpose, training data, evaluation metrics, risk assessments, explainability artifacts, and human-in-the-loop procedures.

- Develop training and awareness programs for responsible AI use; guide business teams on compliant AI solution design.

- Manage third‑party AI vendors, contracts, and ongoing risk monitoring (performance, security, privacy, compliance).

- Define KPIs/KRIs for AI & data governance (e.g., % of AI systems inventoried and risk-tiered, data quality scores, model drift incidents, bias test coverage, PIA completion rate).

- Produce board/executive reporting on AI risk posture, control effectiveness, and program maturity; support internal/external audit requests.

- Drive continuous improvement against a maturity model and benchmark program performance.

What will help you thrive in this role?

- Bachelor’s degree in Information Systems, Computer Science, Data/Analytics, or related field; or equivalent experience.

- 7–10+ years in IT risk, data governance, analytics/ML governance, or compliance with at least 3 years leading programs or teams.

- Experience with data governance (catalogs, lineage, quality, stewardship) and AI/ML lifecycle governance (model documentation, validation, monitoring).

- Strong knowledge of risk frameworks (NIST AI RMF, ISO/IEC 42001, ISO 27001, SOC 2) and privacy (GDPR, CCPA).

- Proven ability to orchestrate cross‑functional governance across IT, Security, Legal, Compliance, Privacy, Audit, and business stakeholders.

- Excellent communication skills—able to translate technical risks into business terms and influence senior leadership.

- Governance design: policy writing, control frameworks, RACI, operating models.

- Risk management: assessments, control testing, issue remediation, KRIs.

- Data management: metadata, lineage, quality management, access control.

- AI/ML: model lifecycle, validation/testing, bias/fairness, explainability.

- Privacy & security: PIAs/DPIAs, encryption, anonymization, secure architecture.

- Stakeholder leadership: facilitation, change management, executive reporting.

- Vendor management: due diligence, contract clauses, ongoing monitoring.

Competencies

Communicating and Influencing

Enabling Execution

Initiative and Drive

Leveraging Learning and Feedback

Technology Agility

Hubbell Incorporated

Hubbell creates critical infrastructure solutions that power our customers, communities, people and the planet. Our company is strategically aligned around enabling grid modernization and electrification. As more products plug in to an aging grid, Hubbell solutions enable the transition to a more reliable, resilient and efficient energy infrastructure. Founded in 1888 our innovation has made us a leading global manufacturer of high quality electrical and utility solutions enabling customers to operate critical infrastructure reliably and efficiently.

The company operates in two segments. Hubbell Utility Solutions (HUS) enable the grid to conduct, communicate and control energy across utility applications and Hubbell Electrical Solutions (HES) are essential to managing power across a wide range of industries and applications. Our vertical market solutions can be applied to markets including Data Centers, Renewables, Commercial Buildings, Industrial, Telecom and Transportation. Supporting both of our business segments is our corporate and Hubbell Unified Business Solutions teams that provide consistent process, tools technologies across our businesses.

We are committed to operating sustainably and ethically while promoting an inclusive and supportive culture for our people to grow and develop in their careers. Our employees proudly work and serve our communities from our headquarters in Shelton, CT, across the United States and around the globe.

Hubbell Unified Business Solutions

Hubbell Unified Business Services (HUBS) provides corporate shared services to support all businesses across the enterprise. Functional areas include Engineering, Sales, Operations, Marketing, Finance, Legal, IT, Human Resources, Payroll, Environmental Health & Safety, and Compliance. HUBS employees are located around the world.

Hubbell Incorporated, its subsidiaries and affiliates, is an EO Employer AA: M/F/Veteran/Disability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity or any other protected class.

The above summary of position responsibilities and requirements is not intended, and should not be construed, to be an exhaustive list of duties, skills, efforts, physical requirements, or working conditions associated with the position. It is intended to be an accurate reflection of those principal position elements essential for making decisions related to position performance, employee development, and compensation.

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