Technology Intelligence – Vice President

State Street

About The Position

State Street is seeking an experienced leader to establish and lead its Technology Intelligence capability. This strategic leadership role will transform trusted technology information into actionable insight, governed data products, predictive analytics, and defensible executive and regulatory reporting. The role will develop an enterprise decision-intelligence service to help technology leaders, engineers, risk teams, and other stakeholders understand technology health, exposure, performance, and priorities. The Vice President will define the strategy, operating model, product portfolio, roadmap, and organisational capability for Technology Intelligence. The capability encompasses executive technology reporting and decision support; technology data products and semantic models; enterprise KPI and metric governance; technology risk and control intelligence; technology currency and exposure analytics; predictive analytics and forecasting; regulatory and audit reporting support; and governed AI-enabled technology insight. Microsoft Fabric and Power BI will be the primary analytical and visualisation foundation. The capability will consume governed information from technology platforms and domains including ServiceNow, Flexera, cloud, security, finance, procurement, asset management, and technology governance. Technology Intelligence will own analytical products, metric integrity, validation, reporting, and measurement lineage. Operational product and data owners will remain accountable for source-data quality, business outcomes, and remediation.

Requirements

Senior leadership experience in technology intelligence, data and analytics, enterprise reporting, technology management, or a related field.
Experience building or transforming an enterprise data, analytics, business intelligence, or reporting capability.
A strong track record of leading multidisciplinary technical and analytical teams.
Experience developing data products, semantic models, executive dashboards, and measurement frameworks.
Strong knowledge of data governance, quality, lineage, metadata, reporting controls, and evidence.
Experience translating complex technology information into concise, decision-oriented executive insight.
Knowledge of predictive analytics, forecasting, automation, and the responsible use of AI.
Ability to influence senior stakeholders and establish clear accountability across organisational boundaries.
Experience working in a large, complex, and highly governed organisation.

Nice To Haves

Experience in financial services or another regulated industry.
Experience with Microsoft Fabric, Power BI, Alteryx, or comparable analytical platforms.
Experience with ServiceNow, CMDB, technology asset, service, workflow, or control information.
Experience with Flexera, software asset management, SaaS management, or FinOps.
Experience with technology currency, risk, control, audit, or regulatory reporting.
Experience with product-led operating models and customer-focused data services.

Responsibilities

Define and deliver the Technology Intelligence strategy and multiyear roadmap.
Build and lead a multidisciplinary team across data products, analytics engineering, business intelligence, metrics governance, and predictive intelligence.
Create authoritative executive scorecards and analytical products for technology leadership, risk, audit, and regulatory audiences.
Develop reusable data products and semantic models that provide a consistent view of technology performance and exposure.
Improve insight into technology currency, CMDB health, asset lifecycle, software and SaaS optimisation, cloud economics, risk, and control effectiveness.
Introduce predictive analytics, automation, anomaly detection, and responsible AI-enabled decision support.
Replace manual and fragmented reporting with governed, repeatable, and traceable analytical products.
Partner with technology, data, risk, finance, procurement, architecture, audit, and product leaders.
Ensure analytical outputs are accurate, reproducible, appropriately controlled, and traceable to authoritative source data.
Own analytical products, metric integrity, validation, reporting, and measurement lineage.