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Skills
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Business Intelligence Softwareunmatched
- Communication Skillsunmatched
- Computer Programmingunmatched
- Computer Scienceunmatched
- Computer Securityunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Qualityunmatched
- Data Visualization Toolsunmatched
- Data Warehousingunmatched
- Decision Supportunmatched
- Ecosystemsunmatched
- Information/Data Security (InfoSec)unmatched
- Internet Securityunmatched
- Leadershipunmatched
- Metricsunmatched
- Online Publicationsunmatched
- Operational Strategyunmatched
- Operations Planningunmatched
- People Managementunmatched
- Power BIunmatched
- Predictive Modelingunmatched
- Privacy Controlsunmatched
- Programming Toolsunmatched
- Prototypingunmatched
- Python Programming/Scripting Languageunmatched
- Reporting Dashboardsunmatched
- Riskunmatched
- Risk Managementunmatched
- Risk Modelingunmatched
- SQL (Structured Query Language)unmatched
- Strategic Planningunmatched
- Sustainabilityunmatched
- Tableauunmatched
- Technical Leadershipunmatched
- Telemetryunmatched
- Training Data Setsunmatched
- Trend Analysisunmatched
- U.S. National Institute of Standards and Technology (NIST)unmatched
- Use Casesunmatched
- Web Analyticsunmatched
- Workflow Analysisunmatched
Description
Key responsibilities include:
- Partner with Cybersecurity leaders, risk stakeholders, and nonCyber teams to define and deliver datadriven Cyber use cases, aligned to enterprise risk priorities and frameworks (e.G., NIST CSF).
- Leverage scalable data pipelines, models, and architectures that enable Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights.
- Work directly with data owners and platform teams to ingest, transform, normalize, and model security and IT datasets, ensuring data quality, lineage, and trust.
- Develop and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and frontline Cyber teams.
- Prototype and productionize integrations across Cyber tools and enterprise data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability.
- Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into actionable outcomes, risk indicators, and decision support.
- Leverage AIassisted development and analytics workflows (e.G., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, insight generation, and experimentationwhile operating within established security and data governance controls.
- Translate complex technical findings into clear, consumable narratives for executive and nontechnical stakeholders, connecting analytics outputs directly to Cyber risk, business impact, and outcomes.
- Serve as a thought partner and technical advisor, helping shape the Cyber data strategy, architecture direction, and futurestate analytics capabilities.
- Bachelor’s degree in a relevant field (e.G., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience).
- 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep handson experience in data engineering, analytics, or data architecture.
- Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns.
- Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies.
- Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.G., vulnerabilities, threats, controls, risk).
- Strong coding proficiency (e.G., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases.
- Experience collaborating closely with data engineering, platform, and architecture teams to ensure longterm operability and support.
- Cybersecurity certifications (e.G., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience).
- Demonstrated experience applying advanced analytics techniques (e.G., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems.
- Experience incorporating or experimenting with AIenabled analytics or development tools (e.G., Claude, AI code assistants, agentbased analytics) in a secure enterprise environment.
- Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices.
- Strong proficiency with data visualization and BI tools (e.G., Tableau, Power BI) to deliver executiveready, actionable insights.
- Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE ATT&CK.
- Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms.
- Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities.
- Track record of leading or delivering endtoend data and analytics initiatives that materially improved Cyber risk management, visibility, or decisionmaking.
- Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and nontechnical audiences.
- Bachelor’s degree
Numbers & Facts
| Location | Springfield, MA |
| Industry | Staffing/Employment Agencies |
| Salary | $80 |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | http://www.lancesoft.com/ |
About Company
We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.