Principal Security Data Engineer

Springfield, MA or NYC, NY

Hybrid (3 days onsite per week)

Job Description

• Partner with Cybersecurity leaders, risk stakeholders, and non-Cyber teams to define and deliver data-driven 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 front-line 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 AI-assisted development and analytics workflows (e.g., Claude, code-generation tools, AI-augmented analysis) to accelerate engineering, insight generation, and experimentation while operating within established security and data governance controls.
• Translate complex technical findings into clear, consumable narratives for executive and non-technical 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 future-state analytics capabilities.

Minimum Qualifications

• 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 hands-on 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 long-term operability and support.

Preferred Qualifications

• 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 AI-enabled analytics or development tools (e.g., Claude, AI code assistants, agent-based 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 executive-ready, 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 end-to-end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision-making.
• Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non-technical audiences.

Senior Program Manager – Financial Planning (Wealth Management)
Location: Hybrid – Springfield, MA (3 days onsite; Fridays remote)
Duration: 12 months (strong potential for extension)

Tier4 Group is partnering with a leading financial services organization to identify a Senior Program Manager to lead a large-scale digital transformation within the Wealth Management and Financial Planning space.

This initiative focuses on product and wealth technology modernization, including consolidation and simplification of legacy platforms into a unified digital advisor experience (Advisor Workflows). The program is currently in recovery mode and requires a strong execution leader to stabilize delivery and drive progress.

This is an immediate need with high visibility and impact.

Position Overview
The Senior Program Manager serves as the central execution leader for the program. This is a hands-on, delivery-focused role responsible for driving execution, enforcing governance, and ensuring alignment across business and technology teams.

You will lead a complex, multi-track program consisting of approximately 20–30 resources across business, technology, testing, and user experience teams, within a broader organization of approximately 80 Program Managers (70% FTE).

Key Responsibilities

Program Execution and Delivery
Own the integrated program plan including schedule, milestones, dependencies, and critical path.
Drive daily and weekly execution cadence including standups, sprint planning, demos, and retrospectives.
Lead program re-baselining efforts within the first 90 days to establish realistic delivery timelines.
Enforce structured iterative delivery including readiness criteria and entry and exit gates.
Manage track sequencing to ensure alignment across multiple digital workstreams.
Support go-live readiness and provide production support as needed.

Cross-Track Coordination and Dependency Management
Coordinate delivery across multiple concurrent workstreams.
Manage and proactively resolve interdependencies across business, technology, UX, and testing teams.
Facilitate weekly cross-track synchronization meetings.
Partner with architecture and engineering leads to ensure proper technical sequencing.
Maintain alignment between business and IT stakeholders.

Governance and Escalation
Lead Steering Committee (SteerCo) governance including agendas, pre-reads, decision capture, and follow-ups.
Ensure governance forums are focused on decision-making rather than status reporting.
Prepare and deliver updates to delivery leadership with clear program insights.
Manage risks, issues, and action items with proactive escalation and resolution.
Define and enforce escalation paths across the program.

Distributed Team Leadership
Manage delivery across US and India-based teams.
Ensure effective handoffs, communication, and execution across time zones.
Monitor offshore delivery quality and throughput.
Identify and address inefficiencies in distributed team execution.

Stakeholder Communication and Reporting
Serve as the primary point of contact for program delivery status.
Develop and deliver executive-ready reporting including velocity, risks, and milestone tracking.
Partner with business stakeholders including product and operations leaders to ensure alignment and decision-making.
Support UAT coordination and business readiness activities.

Required Qualifications
10+ years of Program or Portfolio Management experience in complex enterprise environments.
Proven experience leading large-scale digital transformation initiatives, particularly legacy to modern platform migrations.
Demonstrated success in program recovery or turnaround situations.
Strong experience managing multi-track Agile or iterative delivery models.
Experience leading distributed or global teams including offshore.
Strong governance, dependency management, and execution discipline.

Preferred Experience
Experience in Wealth Management or Financial Planning environments.
Experience supporting business partners such as advisors, planners, or operations teams.
Familiarity with product and wealth technology platforms.
Experience with Salesforce, data conversion, or migration programs.
Experience modernizing legacy systems and paper-based processes.
FINRA licenses or financial certifications are a plus.

Additional Information
Opportunity to play a key role in a high-impact transformation focused on consolidation and simplification of wealth technology platforms.

Key responsibilities include:

Partner with Cybersecurity leaders, risk stakeholders, and non‑Cyber teams to define and deliver data‑driven 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 front‑line 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 AI‑assisted development and analytics workflows (e.g., Claude, code‑generation tools, AI‑augmented analysis) to accelerate engineering, insight generation, and experimentation—while operating within established security and data governance controls.
Translate complex technical findings into clear, consumable narratives for executive and non‑technical 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 future‑state analytics capabilities.

Skills:
Minimum Qualifications

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 hands‑on 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 long‑term operability and support.

Preferred Qualifications

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 AI‑enabled analytics or development tools (e.g., Claude, AI code assistants, agent‑based 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 executive‑ready, 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 end‑to‑end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision‑making.
Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non‑technical audiences.