SVP - Data & Decision Intelligence, Information Security Manager

We9re seeking a future team member for the role of Senior Vice President - Data & Decision Intelligence to join our Network & Cloud Security Organization. This is a founding role for the function and reports to the Senior Director, Strategy & Innovation. This role is located in Pittsburgh, PA or Lake Mary, FL - Hybrid.

This role exists to produce tangible outcomes: better executive decisions, quantified risk reduction, and measurable value realization from the network and cybersecurity investment portfolio. Operating within the Strategy & Innovation function9s value-realization mandate, it is an accountable, AI-leveraged capability - one senior owner, amplified by AI and analytics tooling, delivering the insight a full analytics team would, and accountable for the decisions leadership takes on that evidence. The role is expected to demonstrate value early and scale only on demonstrated results.

In this role, you9ll make an impact in the following ways:

• Turn network, cybersecurity, automation, operational, financial, and service data into executive decisions - defining the questions leadership needs answered and delivering clear recommendations, options, tradeoffs, and confidence levels.
• Give leadership a single, recurring answer to 42;are we measurably more automated, resilient, secure, and consumable than last period?43; through a North Star progression view, and identify the specific decisions and interventions that answer should trigger.
• Quantify whether specific investments reduced cyber and operational risk and produced the intended capability - attributing outcomes to investments and surfacing where spend can be consolidated, redirected, or stopped.
• Produce the capability and vendor intelligence that drives renewal, consolidation, and prioritization decisions with a security and value lens - translating analysis into actionable cost and risk outcomes.
• Act as the accountable interpreter of authoritative data - configuration and asset data, network telemetry, security findings, automation activity, control evidence, service performance, and vendor and financial information - validating and stress-testing evidence rather than owning the production data platforms.
• Establish common definitions, baselines, data lineage, and explicit confidence levels so every conclusion is transparent and defensible, and escalate data-quality and ownership gaps to accountable source and platform teams.
• Supply the measured evidence that leadership uses to keep execution aligned to strategy - outcome confidence, dependency impact, and early signals where results are drifting from intent - so leadership can intervene before value is lost.
• Apply AI-enabled and agentic analysis to accelerate insight and scale output, exercising sound judgment on confidence, verification, and where a human decision and human accountability are required.
• Partner with Architecture, Engineering, Automation, AIOps and data-platform, Security, Finance, and Sourcing teams to source authoritative evidence and drive decisions to conclusion, while respecting their platform and delivery accountabilities.

In your first two quarters, you9ll deliver:

• A North Star progression baseline for a set of priority domains, agreed with Architecture and Engineering, with explicit confidence levels.
• A quantified cyber and operational value assessment of one material initiative - baseline versus current - with a clear continue, accelerate, correct, or stop recommendation.
• An executive scorecard that leadership actively makes decisions from, not a report that is filed.
• At least one investment, vendor, or capability decision (continue, consolidate, redirect, or stop) directly enabled by the evidence you produce.
• A documented view of the highest-value decision questions and the authoritative data gaps that must be closed to answer them.

How success in this role is measured:

• Executive decisions enabled and acted upon as a direct result of the evidence produced.
• Quantified risk reduction and capability progress evidenced against agreed baselines.
• Spend avoided, consolidated, or redirected through capability and vendor intelligence.
• Investments and initiatives corrected, accelerated, or stopped on the strength of the analysis.
• Confidence and credibility of the evidence - reproducible, sourced, and trusted by leadership and control functions.

To be successful in this role, we9re seeking the following:

• Bachelor9s degree in a quantitative, engineering, or computer science discipline - data science, statistics, computer science, engineering, information systems, or a related field; advanced technical degree preferred.
• 12+ years of experience in data and analytics, decision science, technology strategy, or infrastructure and security analytics, including a demonstrable track record of turning complex technical data into executive decisions and measurable value.
• Deep hands-on expertise in data analysis and decision intelligence: defining metrics and outcome measures, building baselines, correlation and trend analysis, and quantifying risk, value, and outcome attribution.
• Strong working knowledge of network and cybersecurity domains and their telemetry and data sources - configuration and asset data, network telemetry, security findings, automation activity, control evidence, and service and adoption data - sufficient to interpret evidence across domains.
• Demonstrated ability to establish common definitions, baselines, data lineage, and confidence levels, and to identify and escalate data-quality gaps across distributed source systems.
• Proficiency with modern data and analytics tooling, including SQL, Python or equivalent, data visualization, and analytics platforms, with the ability to produce reproducible, auditable analysis with documented assumptions and versioning.
• Practical experience applying AI-enabled and agentic analysis to scale insight, with sound judgment on confidence, verification, and human accountability.
• Comfortable operating with ambiguity and shaping structure where none yet exists, paired with excellent executive communication skills - able to translate technical evidence into clear recommendations, options, tradeoffs, and confidence levels that drive senior-leadership decisions.
• A track record of influencing across architecture, engineering, security, operations, finance, and vendor-management stakeholders as an authoritative interpreter of their data, and driving decisions to conclusion without assuming ownership of their platforms or their delivery.

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life9s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.

Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee9s eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, the employee will be in an 42;at will43; position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.