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Northern Trust

Global wealth management and asset servicing

Head of Cyber Data Governance & Strategy

Engineering LeadershipPosted on Nov 12
Full-timeChicago, IL, USA$137.4k - $240.4kIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Data Management, Analytics, Engineering, Cybersecurity, Business, Finance, or a related field is required.
  • Progressive leadership experience across data strategy, governance, architecture, engineering, analytics, executive reporting, cybersecurity, or technology transformation is required.
  • Demonstrated success leading complex, multi-year, enterprise-scale data or technology programs with significant capital investment is required.
  • Strong program management experience, including roadmaps, budgets, resources, risks, dependencies, vendors, and executive communications, is required.
  • Experience building or operating cloud-based lakehouse, warehouse, data engineering, and analytics platforms using technologies such as Databricks, Snowflake, Microsoft Fabric, or Azure Data Lake is required.
  • Strong knowledge of ingestion, ETL/ELT, APIs, pipelines, orchestration, modeling, metadata, lineage, data quality, monitoring, and production support is required.
  • Experience delivering executive metrics, KPIs, KRIs, dashboards, and reporting using Power BI or comparable tools is required.
  • Experience applying AI or automation to data, analytics, reporting, or operational workflows and leading multidisciplinary data teams is required.
  • Strong executive presence and ability to translate complex technical, risk, operational, and financial information into clear insights and influence across organizational boundaries is required.

Responsibilities

  • Define and execute the cybersecurity data, analytics, governance, metrics, and reporting strategy and multi-year roadmap.
  • Advise the CISO and Head of the Office of the CISO on data, reporting, automation, and platform strategy.
  • Establish clear services, standards, controls, accountabilities, and performance measures for the function.
  • Partner across Cybersecurity, Enterprise Data, Architecture, Technology, Risk, Finance, and Procurement to align priorities and represent cybersecurity in enterprise planning forums.
  • Lead the design, implementation, and operationalization of the multi-year Cybersecurity Lakehouse & Metrics Program.
  • Manage the approximately $4 million investment, including roadmap, budget, resources, vendors, risks, dependencies, and benefits realization.
  • Coordinate delivery across cybersecurity, technology, data, architecture, and third-party partners.
  • Deliver scalable, secure, reusable capabilities and transition the program to a sustainable operating model.
  • Oversee the architecture and operation of cloud-based cybersecurity lakehouse, warehouse, storage, and analytics capabilities.
  • Guide the use of platforms such as Databricks, Snowflake, Microsoft Fabric, Azure Data Lake, or comparable technologies.
  • Establish reusable standards for ingestion, transformation, data modeling, data products, analytics, and AI-enabled workflows.
  • Ensure platforms and pipelines are secure, resilient, scalable, observable, cost-effective, and supportable.
  • Implement structured intake, prioritization, documentation, testing, reconciliation, monitoring, and production support for new data sources and use cases.
  • Establish the cybersecurity data governance framework covering ownership, stewardship, quality, lineage, metadata, classification, access, retention, and lifecycle management.
  • Define accountability for cyber data and data products across the Office of the CISO.
  • Maintain an approved data and metrics catalog with definitions, calculations, sources, owners, thresholds, frequency, and lineage.
  • Establish certification, quality monitoring, issue remediation, and exception-management processes for trusted data products and executive metrics.
  • Lead governance forums and ensure executive and regulatory reporting is traceable to authoritative sources and approved calculations.
  • Lead centralized cyber metrics and reporting for the CISO, executives, board and management committees, risk forums, and regulators.
  • Deliver Power BI and other intelligence products that translate cyber risk, control, operational, financial, workforce, vendor, and portfolio data into decision-ready insights.
  • Automate data collection, validation, calculation, visualization, and commentary while maintaining review, approval, evidence, and change controls.
  • Partner with Finance, Workforce Management, Procurement, Vendor Management, and Portfolio Management to align definitions and authoritative data.
  • Develop identity intelligence capabilities that combine identity, entitlement, access, asset, organizational, risk, and security data.
  • Enable reusable analytics that correlate identity, vulnerability, control, finding, incident, threat, application, and business context.
  • Define and prioritize AI and automation use cases across data, reporting, architecture, engineering, governance, and control workflows.
  • Establish appropriate security, testing, human oversight, explainability, data quality, auditability, and change controls for AI-enabled capabilities.
  • Build and lead a multidisciplinary team spanning data architecture, engineering, governance, analytics, reporting, and automation.
  • Define roles, skills, performance expectations, career paths, capacity plans, and a balanced workforce model.
  • Establish a federated network of cyber data owners, subject matter experts, and liaisons accountable for requirements, quality, validation, and issue resolution.
  • Manage strategic technology, consulting, and implementation partners with clear deliverables, controls, performance measures, and knowledge-transfer expectations.
  • Build strong cross-functional relationships and communicate progress, risks, decisions, and outcomes to executive stakeholders.

Desired Qualifications

  • An advanced degree in a related discipline is preferred.
  • Experience in financial services or another highly regulated industry is preferred.
  • Experience establishing a data, analytics, governance, reporting, or automation Center of Excellence is preferred.
  • Knowledge of cybersecurity metrics, identity intelligence, security analytics, and frameworks such as NIST, ISO/IEC 27001, COBIT, or FAIR is preferred.
  • Relevant program management, data, cloud, architecture, analytics, cybersecurity, or governance certifications are preferred.

About the Company

Northern Trust

Global wealth management and asset servicing

Preparing company summary.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1889

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