Security

Security Data Jobs

57 jobs found

2d ago

AI Engineer SME

AnaVation Chantilly, VA

Chantilly, VA

2d ago

$95k - $213k/yr Full time Agentic Ai Ai Agent Ai Ml

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Job Description

AnaVation is seeking an AI Engineer SME to lead research, design, development, and execution of specialized operational and analytic cyber AI capabilities supporting real-world missions. This onsite role in Chantilly, VA requires an active Top Secret (TS) clearance with eligibility to obtain SCI access via a CI polygraph.

Responsibilities

Build scalable, production-ready AI/ML/GenAI models, pipelines, and microservices.
Develop training, evaluation, and inference pipelines in Python using PyTorch, TensorFlow, or scikit-learn.
Deploy and manage models using MLOps, CI/CD, containerization, and monitoring frameworks.
Implement vector databases, embeddings, LLM applications, agentic AI, and tool calling workflows.
Optimize models for accuracy, latency, cost, and scalability across distributed environments.
Support AI governance, documentation, ethical compliance, and secure posture alignment.
Provide technical mentorship and drive cross-team engineering standardization.

Requirements

Active Top Secret (TS) clearance with eligibility for SCI access and ability to obtain a Counterintelligence (CI) polygraph.
Bachelor’s degree or master’s degree with 10 years of experience specializing in AI/ML engineering.
Hands-on experience deploying production AI/GenAI and LLM systems, including embeddings, multi-model and multimodal orchestration, reasoning, memory, and tool execution.
Proficiency with PyTorch, TensorFlow, scikit-learn, and cloud platforms (AWS, Azure, or GCP), including practical MLOps experience using MLflow, Azure ML, or Vertex AI.
Experience implementing NLP, computer vision, reinforcement learning, and temporal, spatial, geographic, or quantitative AI capabilities, including named entity recognition, contextual entity extraction, and entity resolution.
Experience developing multi-step retrieval and structured output workflows with source citations, provenance, and traceable analytic results.
Expertise in data architecture integrating vector, graph, and relational databases, including automated ETL pipeline development, scheduling, optimization, complex parsing, and schema-aligned ingestion and normalization of structured and unstructured data.
Experience implementing data-layer Attribute-Based Access Control (ABAC) and end-to-end data lineage tracking.
Experience supporting air-gapped, hybrid, and on-premises environments, including locally hosted GPU servers, hyperconverged infrastructure, container orchestration, distributed systems, and multitenant Cross-Domain Solutions (CDS).
Proficiency in full-stack application development and integration using TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes to connect user interfaces, backend services, middleware, retrieval systems, databases, and AI/GenAI services.
Experience delivering and maintaining solutions in agile engineering environments.
Ability to work on-site in Chantilly, VA.

Required Technologies

AI/ML/GenAI, Python, PyTorch, TensorFlow, scikit-learn, MLOps, CI/CD
Vector databases, embeddings, LLM applications, agentic AI, tool calling workflows
AWS, Azure, GCP; MLflow, Azure ML, Vertex AI
NLP, computer vision, reinforcement learning, named entity recognition, entity resolution
ETL, Attribute-Based Access Control (ABAC), data lineage tracking
Air-gapped, on-premises, GPU servers, hyperconverged infrastructure, container orchestration, distributed systems, Cross-Domain Solutions (CDS)
TypeScript, React, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, Kubernetes

Benefits

Generous cost sharing for medical insurance for the employee and dependents
100% company paid dental insurance for employees and dependents
100% company paid long-term and short-term disability insurance
100% company paid vision insurance for employees and dependents
401k plan with generous match and 100% immediate vesting
Competitive Pay
Generous paid leave and holiday package
Tuition and training reimbursement
Life and AD&D Insurance

Preferred Qualifications

Experience in federal, defense, or highly regulated environments.
Knowledge of ethical AI, governance frameworks, and secure development practices.
Skills in large-scale optimization, GPU acceleration, or distributed training.
Experience building APIs, microservices, and automated ML workflows.

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2d ago

Senior Security & Data Analyst

Manhattan Associates Atlanta, GA

Atlanta, GA

2d ago

Full time Senior Data Data Analysis

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Job Description

The Senior Security and Data Analyst supports Manhattan’s Legal Department across information security, data protection, customer assurance, and licensing compliance. This role partners across Legal, Global Security, Compliance, Product Management, R and D, Sales, and client stakeholders to manage security assessments, due diligence responses, and pre-sales requests for Manhattan’s SaaS environment.

Key Responsibilities

Maintain the Manhattan Trust Center, ensuring security, privacy, compliance, and customer-assurance materials are accurate, current, well organized, and available.
Monitor and analyze new and evolving global data protection laws, regulations, regulatory guidance, and industry requirements, assessing potential impacts on products, services, contracts, and operations.
Coordinate with Legal, Global Security, Compliance, Product Management, and other stakeholders to support implementation of new legal, regulatory, and security requirements.
Support potential clients during pre-sales activities by addressing Manhattan security controls, privacy program, compliance posture, and security assessments.
Prepare, review, and present responses for client security questionnaires, due diligence requests, RFP requirements, audits, and related information requests.
Respond to internal and external requests for information related to security, privacy, compliance, and data protection.
Champion security and data protection policies, procedures, and control requirements across relevant teams.
Assist with security-related escalations and incident investigations, including gathering facts, coordinating with subject-matter experts, documenting findings, and supporting timely resolution.
Serve as a liaison to Sales Executives on licensing compliance matters, identifying issues, coordinating internal review, and contributing to commercially practical resolutions.
Draft clear, accurate, and well-supported exceptions, deviations, risk explanations, compensating-control narratives, and other written responses.
Maintain appropriate documentation for work performed, decisions made, customer requests, assessments, exceptions, and resulting actions.
Support the ongoing development of industry-standard security and privacy practices in Manhattan’s cloud environment.
Perform other duties assigned by the Vice President – Contracts and Corporate Administration / Data Protection Officer.

Required Qualifications

Bachelor’s degree or equivalent combination of education and relevant experience.
5+ years of experience in information security, privacy, data protection, compliance, technology risk, legal operations, or a related field.
Sound judgment, independent execution, strong client communication, and the ability to translate technical and regulatory requirements into clear written analysis and actionable recommendations.
5+ years of experience supporting customer due diligence, security questionnaires, vendor assessments, audits, RFPs, or pre-sales activities.
Ability to analyze and explain the practical business impact of new global data protection laws and regulatory requirements.
Strong client presentation skills for communicating with technical, legal, procurement, privacy, security, and executive audiences.
Excellent writing skills for describing issues, risks, rationale, proposed limitations, and compensating controls clearly and persuasively.
Strong written and verbal communication, analytical, problem-solving, organizational, and interpersonal skills.
Ability to manage multiple priorities, meet deadlines, work independently with limited day-to-day supervision, and exercise sound judgment.
Ability to handle confidential information with discretion and professionalism.
Self-motivated, solution-focused, and able to make decisions independently within established guidelines.

Preferred Skills and Experience

Familiarity with security and compliance frameworks and controls, including SOC 1, SOC 2, ISO 27001, PCI DSS, or similar standards.
Understanding of cloud, application, network, operating-system, database, and access-control security concepts.
Experience interpreting security assessments, control descriptions, policies, certifications, audit materials, and threat or risk information.
Experience participating in incident investigations, security escalations, or risk-mitigation activities.
Experience working across multiple development, security, operations, legal, or commercial teams.

Location and Work Setting

Atlanta, GA (onsite).

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4d ago

Staff AI Engineer

Arm Seattle, WA

Seattle, WA

4d ago

$171k - $231k/yr Full time Backend Developer Python Agentic Ai

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Job Description

Arm is building an open-source platform for physical-AI agents that can interact with real devices across both cloud and edge environments. In this Staff AI Engineering role in Seattle, WA (onsite), you will design and deliver SDK and reference capabilities that help external developers evaluate, secure, and deploy agent-to-device experiences.

What you’ll build

Design and implement features across SDKs and reference services, covering both device-side and agent-side components.
Create reference applications and demos that connect agents to real devices across edge and cloud, leveraging PyTorch-ecosystem inference runtimes and popular agent frameworks.
Develop evaluation harnesses to measure reliability, latency, and correctness of agent-to-device interactions, then use results to improve the product.
Bring up and maintain a development hardware fleet including single-board computers, cameras, sensors, robot platforms, and edge servers for development, testing, and demonstrations.
Contribute to the platform’s security and operational posture, including identity, authorization, observability, and safe failure behavior.
Write clear documentation, samples, and learning materials for external developers, and support the open-source community through issues, reviews, and contributions.
Collaborate with architects, product managers, and partner engineers on requirements, API design, and release quality.

Requirements

Professional software engineering experience building distributed systems, with strong Python and working proficiency in at least one of C++, Rust, or Go.
Experience building and shipping AI-powered applications, including LLM tool use or agent frameworks, integrated with real systems.
Practical experience deploying ML models for inference on servers or edge devices, using PyTorch or a comparable framework.
Strong grounding in messaging, RPC, concurrency, failure handling, and testing for networked software.
Comfort with Linux, embedded single-board computers, containers, and CI/CD workflows.
Clear written and verbal communication across hardware, systems, and ML disciplines.
Degree or equivalent experience in Computer Science, Electrical Engineering, Robotics or a related field.

Nice to have

Experience with publish/subscribe messaging systems or IoT protocols.
Familiarity with Model Context Protocol or similar agent-tool interfaces.
Robotics or physical-AI background such as ROS 2, robot arms, perception pipelines, or control loops.
On-device inference experience with ExecuTorch, ONNX Runtime, or vendor NPU toolchains, plus LLM serving with vLLM or similar.
Experience designing evaluations or benchmarks for AI agents.
Contributions to open-source projects and experience supporting an external developer community.
Security fundamentals for connected devices.

Technologies

Python, C++, Rust, Go, PyTorch
LLM tool use, agent frameworks
PyTorch-ecosystem inference runtimes
Linux, containers, CI/CD workflows
RPC, single-board computers, embedded single-board computers

Compensation: USD 170,900 to 231,200 per year.

Additional information: No relocation package is available for this role.

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4d ago

Physical & Spatial AI, OT Connectivity Engineer III

Deloitte New York, NY

New York, NY

4d ago

$116k - $229k/yr Full time Electrical Engineering Ai Infrastructure Ansible

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Job Description

Deloitte’s AI & Engineering practice helps clients design, develop, and operate advanced data, AI, and engineering platforms, products, insights, and services. In this role, you will support organizations modernizing operational technology (OT) environments by building secure, high-performing connectivity foundations for intelligent industrial operations.

This onsite position in New York, NY focuses on physical and spatial AI concepts, including digital twin and spatial intelligence, alongside practical network engineering for connected equipment, cameras, IIoT sensors, and automation. You will design segmented, multi-site network solutions and ensure reliable data movement across OT and IT domains as AI and high-performance networking use cases grow.

What you’ll do

Design new industrial networks and modernize existing infrastructure to support connected equipment, cameras, IIoT sensors, automation, and increasing data demands.
Develop segmented, multi-site network solutions using modern routing, switching, remote connectivity, and software-defined networking technologies.
Enable reliable data movement across OT and IT while supporting emerging AI, high-performance, and optical networking use cases.
Use network and agentic automation tools to improve deployment, configuration, monitoring, troubleshooting, and ongoing support.
Apply established OT architecture and cybersecurity frameworks to integrate IT and OT environments, reduce risk, and protect critical operations.
Design connectivity for industrial protocols and time-sensitive applications in complex operating environments.
Use network KPIs, monitoring, assurance, and structured troubleshooting to enhance availability, performance, and operational efficiency.
Collaborate with technical and business stakeholders to deliver practical solutions for organizations in manufacturing, energy, industrial, technology, media, and telecommunications.

Key technologies you may work with

Digital twin, spatial intelligence, and Physical AI
Routing, switching, and software-defined networking
Segmentation approaches including VLANs, Purdue Model, and IEC 62443 zoning principles
Industrial protocols such as PROFINET, EtherNet/IP, and OPC UA
Automation and tooling including agentic automation, Ansible, Netmiko, n8n, and LangChain
Time-sensitive networking (TSN) and AI networking technologies including InfiniBand and Spectrum-X
Optical transport network (OTN) devices and supporting connectivity concepts
Security and connectivity technologies such as firewalls, VPNs, IPsec, SD-WAN, VRF-lite, VXLAN-EVPN, and secure remote connectivity
Network assurance and performance practices using network monitoring and KPIs

What you bring

Bachelor’s degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field.
Minimum of 5 years of hands-on experience designing, implementing, and supporting network connectivity solutions for OT or industrial environments, demonstrated through completed client or enterprise projects.
Consulting environment experience delivering technical solutions directly to clients.
Experience designing, implementing, or supporting networks in OT or industrial environments.
Experience with network segmentation including VLANs, routing, firewalls, VPNs, or secure remote connectivity.
Knowledge of the Purdue Model and IEC 62443 network zoning and segmentation principles.
Experience with at least one industrial communication protocol such as PROFINET, EtherNet/IP, or OPC UA.
Experience troubleshooting OT network connectivity and performance issues.
Experience using network monitoring tools and performance data to maintain reliability and support troubleshooting.
Experience connecting IIoT devices or integrating network connectivity across OT and IT environments.
Ability to create clear network designs and technical documentation.
Ability to communicate technical solutions to architects, clients, and OT and IT stakeholders.
Ability to travel up to 50% on average, based on work, clients, and industries/sectors served.
Limited immigration sponsorship may be available.

Preferred qualifications

Consulting experience strongly preferred, especially in client-facing strategy, architecture, or transformation delivery roles.
Experience presenting technical designs to an Architecture Review Board or similar governance forum.
Experience leading a client project or technical workstream and managing milestones, risks, and stakeholder expectations.
Experience with multi-site connectivity, site-to-site IPsec, SD-WAN, VRF-lite, or VXLAN-EVPN.
Experience with network automation tools such as Ansible, Netmiko, n8n, or LangChain.
Experience with time-sensitive networking (TSN), AI networking technologies such as InfiniBand or Spectrum-X, or optical transport network (OTN) devices.
Current certification in a relevant wired, wireless, security, or industrial networking technology.
Experience in data center, sports venue, consumer, or retail environments.

Compensation and incentives

Estimated salary range: $116,200 to $229,100 per year. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program.

Recruiting for this role ends on: 11/26/2026

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4d ago

Sr Machine Learning Engineer

SimpliSafe Boston, MA

Boston, MA

4d ago

$153k - $204k/yr Full time Ai Ml Application Security Artificial Intelligence

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Job Description

SimpliSafe is hiring a Senior Machine Learning Engineer to help take machine learning from development to production. In this Boston hybrid role, you will focus on building and deploying model serving capabilities, strengthening ML infrastructure, and improving the reliability, security, and scalability of ML workflows.

You will collaborate with data scientists and engineering partners to operationalize models, put monitoring in place, and enable repeatable releases through solid ML CI/CD practices. The role also includes participating in an on-call rotation for software owned by your team.

Responsibilities

Lead the architecture, deployment, and optimization of scalable ML model serving systems for real-time and batch use cases.
Collaborate with data scientists, engineers, and stakeholders to operationalize ML models.
Develop CI/CD pipelines for ML models to support rapid, safe, and consistent releases.
Design, implement, and own comprehensive production monitoring for ML models and ML systems.
Manage cloud infrastructure, primarily in AWS or other major public clouds, to support ML workloads.
Drive best practices in model versioning, observability, reproducibility, and deployment reliability.
Participate in an on-call rotation as a first responder for software owned by your team.

Requirements

5+ years of experience in software engineering, data engineering, or a related field, with at least 3 years focused on MLOps or ML infrastructure.
Deep hands-on experience with AWS or similar public clouds, including compute, networking, container orchestration, and observability stacks.
Hands-on experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools such as Terraform and Cloud Formation.
Proficiency in Python, plus familiarity with ML frameworks such as TensorFlow and PyTorch.
Solid understanding of ML lifecycle management, including experiment tracking, versioning, and monitoring.
Strong communication skills for working across cross-functional technical and non-technical teams.

Technologies

AWS
Python
TensorFlow, PyTorch
Docker, Kubernetes
Terraform, Cloud Formation
Ray, vLLM
Spark, Hadoop
Kafka, Kinesis

Benefits

A mission- and values-driven culture and a safe, inclusive environment to build, grow, and thrive.
A comprehensive total rewards package that supports wellness and provides security for SimpliSafers and their families.
Free SimpliSafe system and professional monitoring for your home.
Employee Resource Groups (ERGs) for networking, mentoring, development, and advocacy.

Nice to Have

Experience with Ray for inference or pipeline orchestration.
Hands-on experience with deploying large language models (LLMs) to production.
Experience with frameworks such as vLLM.
Experience with distributed systems and big data technologies like Spark and Hadoop.
Experience with event-driven or streaming architectures such as Kafka and Kinesis.
Knowledge of cloud security, IAM, and compliance best practices for ML workloads.
LLM application development, including prompt engineering and evaluation.

What Values You’ll Share

Customer Obsessed
Aim High
No Ego
One Team
Lift As We Climb
Lean & Nimble

Hybrid Work Model

Hybrid work model that allows teams to split time between office and home.
Teams come together in SimpliSafe’s state-of-the-art office on two core days each week, typically Tuesday, Wednesday, or Thursday, with the remaining time based on team choice.

Location: Boston, MA (hybrid)
Salary: USD 152,900 - 203,800 per year (target annual base pay range)

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4d ago

Cleared Data Engineer

Accenture Federal Services Washington, DC

Washington, DC

4d ago

$93k - $176k/yr Full time AWS Aws Data Warehouse Big Data

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Job Description

Accenture Federal Services is hiring a Cleared Data Engineer in Washington, DC (onsite) to design, build, and maintain scalable end-to-end data pipelines and cloud-native data solutions. This role supports analytics and reporting through reliable data integration, transformation, and operational visibility, while collaborating across data science, analytics, and business teams. You will also contribute to data governance, security, and automation initiatives within the data ecosystem.

Responsibilities

Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
Develop efficient data processing and transformation workflows for analytics and reporting needs.
Integrate diverse data sources, including APIs, databases, and cloud storage, into unified datasets.
Partner with cross-functional teams (data science, analytics, business units) to implement data solutions aligned with business goals.
Implement robust validation, monitoring, and observability to ensure data accuracy, completeness, and reliability.
Support data governance, security, and automation initiatives across the data ecosystem.
Use AWS services such as S3, Glue, Lambda, and Redshift to build and deploy cloud-native data solutions.

Requirements

Experience with cloud-based ETL services, such as AWS Glue, Google Cloud Dataflow, or Azure Data Factory.
Experience with cloud data warehousing, such as Amazon Redshift, Google BigQuery, or Snowflake.
Experience with Python, SQL, Spark, and PySpark.
Experience with data platforms including Databricks, Palantir, or Snowflake.
Familiarity with data orchestration and data quality processes.
Active Top Secret or TS/SCI or TS/SCI with polygraph clearance.

Technologies

Databricks, Spark, Python, SQL, PySpark, AWS, S3, Glue, Lambda, Redshift, Google Cloud Dataflow, Azure Data Factory, Amazon Redshift, Google BigQuery, Snowflake, Palantir, Docker/Kubernetes, Hadoop/Spark, NiFi, ELK stack, ElasticSearch.

Bonus Points

Experience working with federal clients.
Experience with Docker/Kubernetes, Hadoop/Spark, NiFi, ELK stack.
Experience with Agile / Scrum.
Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi.
Relevant data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar.

Benefits

401(k)
Dental insurance
Parental leave

Work Location: In person

Salary Range: USD 93,400 - 176,200 per year

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7d ago

Manager, Technology & Cybersecurity Risk / Risk Data Analyst

Genworth Richmond, VA

Richmond, VA

7d ago

$109k - $169k/yr Full time Manager Analytics Artificial Intelligence

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Job Description

Genworth is hiring a Technology & Cybersecurity Risk leader in Richmond, VA (hybrid) to strengthen how the organization identifies, assesses, monitors, and reports enterprise risk. You will modernize risk management through Power BI dashboards, Power Automate workflows, and AI-enabled approaches, helping teams turn risk data into actionable insights. The role also includes executive-ready storytelling and risk challenge to improve controls across technology, cybersecurity, and third-party environments.

Hybrid schedule: In-office days are Tuesday, Wednesday, and Thursday, with working hours targeting 9am–5pm EST. This position is available to Virginia residents with Richmond, Virginia in-office applicants.

What you’ll do

Lead and execute enterprise-wide technology risk assessments across applications, infrastructure, cloud platforms, and data environments.
Identify, evaluate, and prioritize risks related to availability, security, resilience, and data integrity.
Maintain and manage the technology risk register, including risk identification, scoring, and remediation tracking.
Evaluate and challenge IT general controls (ITGCs) and application controls, ensuring design and effectiveness.
Align risk and control practices to industry standards such as NIST, ISO 27001, COBIT, SOC 2, and CIS Controls.
Partner with Technology and Security teams to drive control improvements and remediation of identified risks.
Support definition of risk appetite and tolerance, including development and monitoring of key risk indicators (KRIs).
Provide independent oversight and challenge to ensure risks are identified and managed within technology initiatives, projects, and change efforts.
Support regulatory, audit, and compliance activities by providing documentation, evidence, and subject matter expertise.
Monitor emerging technology and cybersecurity risks (for example, cloud, AI, cyber threats) and translate them into actionable mitigation strategies.
Conduct cybersecurity risk assessments for enterprise environments across on-prem, cloud, and hybrid.
Assess cybersecurity controls across IAM, data protection and encryption, network and endpoint security, and incident response capabilities.
Oversee vulnerability management activities, including penetration testing and remediation tracking.
Support cyber incident readiness activities such as tabletop exercises and post-incident reviews.
Develop cybersecurity KRIs and deliver executive reporting, including clear PowerPoint narratives.
Collect, validate, and analyze risk data from multiple sources, including GRC tools, security platforms, and vendor systems.
Build and maintain Power BI dashboards for risk registers, KRIs, vendor risk metrics, and trend analysis.
Design and implement Power Automate workflows to streamline risk processes such as assessments, approvals, and reporting.
Use AI and Generative AI tools to enhance reporting, summarization, and analysis, and support responsible AI use by identifying and mitigating risks such as data privacy, bias, and accuracy.

What you bring

5+ years of experience in one or more of: Technology / Cyber Risk, Risk Management / GRC, or Risk Data Analytics.
Experience conducting risk assessments and managing remediation activities.
Familiarity with risk and control frameworks such as NIST, ISO, and SOC.
Strong Power BI skills, including dashboarding and data modeling.
Advanced Microsoft Excel skills for analytics and data manipulation.
Advanced PowerPoint skills for executive presentations.
Experience building dashboards, reports, and risk analytics, and translating data into actionable insights.
Experience using Power Automate or similar workflow automation tools.
Familiarity with AI / Generative AI tools to improve productivity and analysis.
Experience leveraging APIs to access, share, and aggregate data.
Strong written and verbal communication skills, including executive-level storytelling.
Ability to translate technical concepts into business-friendly language.
Bachelor’s degree in a related field such as Information Technology, Cybersecurity, Computer Science, Business, Risk Management, Finance, or a related field.

Tools and frameworks you’ll work with

Power BI, Power Automate, PowerPoint
AI-enabled solutions, AI and Generative AI tools
NIST, ISO 27001, COBIT, SOC 2, CIS Controls
NIST CSF, NIST 800-53, ISO 27002
GRC tools (including ServiceNow GRC, Archer, OneTrust)
AWS, Azure, GCP
SQL, Python, PowerShell

Compensation and incentives

Salary range: $109,000 – $169,000 per year (national range)
Eligible for a bonus incentive plan in addition to base salary; incentive compensation is based on individual and company performance and is not guaranteed.

Benefits at Genworth

Comprehensive Healthcare Coverage
Multiple 401(k) Savings Plan Options
Auto Enrollment in employer-directed retirement account feature (100% employer-funded)
Generous Paid Time Off including 12 Paid Holidays, Volunteer Time Off, and Paid Family Leave
Disability, Life, and Long Term Care Insurance
Tuition Reimbursement, Student Loan Repayment, and Training & Certification Support
Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
Caregiver and Mental Health Support Services
Competitive Compensation & Total Rewards Incentives

Nice to have

Professional certifications such as CISA, CRISC, CISM, CISSP, CTPRP, or PMP
Master’s degree (MBA, MS Cybersecurity, or related field)
Experience with GRC platforms (e.g., Archer, ServiceNow GRC, OneTrust)
Knowledge of cloud platforms (AWS, Azure, GCP)
Experience with scripting or data tools (SQL, Python, PowerShell)
Experience presenting to senior leadership or risk committees