Data Product Development, Vice President

State Street•Toronto, ON

10d

About The Position

We are looking for a highly skilled and experienced Data Product Development Technologist, Vice President to join our global Digital and Analytics audit team. To succeed in this role, you need to have a deep understanding of building consistent, relevant and impactful data products, data solutions and visualizations for Corporate Audit by leveraging best-in-class, enterprise grade tools. This is a senior individual‑contributor role where you will lead the design and delivery of scalable, enterprise-grade solutions that balance cutting-edge innovation with operational rigor and simplicity. You will influence cross-functional stakeholders, align technology investments with business priorities, and build capabilities that strengthen organizational resilience. Your leadership will ensure that teams not only deliver on day-to-day commitments but also continuously evolve to meet emerging challenges and opportunities. The organization you will be joining plays a mission-critical role in enabling our global success. We act as a trusted partner to help manage risk, navigate complexity, and drive sustained performance and profitability. You will be responsible for shaping and advancing this mandate by setting strategic direction, driving innovation, and ensuring execution excellence across data product development initiatives.

Requirements

Proven experience leading end-to-end development and delivery of complex, enterprise-scale data products, with accountability for strategy, execution, and measurable business impact.
Demonstrated ability to set priorities and allocate resources across multiple high-impact initiatives, balancing strategic objectives with operational demands in a fast-paced, global environment.
Exceptional executive-level communication and influencing skills, with the ability to translate complex technical concepts into clear, actionable insights for senior stakeholders and drive informed decision-making.
Advanced analytical, problem-solving, and strategic thinking capabilities, with the ability to synthesize complex data, identify emerging risks/opportunities, and define forward-looking solutions.
Expertise in developing and delivering compelling executive presentations, technical narratives, and thought leadership materials that align stakeholders and secure buy-in.
Ability to operate effectively across global teams and cultures, influencing outcomes and driving alignment at all levels of the organization.
Superior written and verbal communication skills in English, with the ability to represent the organization externally and internally at the executive level.

Nice To Haves

Advanced degree in Information Technology, Computer Science, Engineering, Data Science, or a related discipline; graduate-level education (e.g., Master’s, MBA) preferred, with a focus on data, analytics, or digital transformation.
Extensive experience in the banking, financial services, or other highly regulated industries, with a strong understanding of regulatory expectations, risk management frameworks, and audit or control environments.
Deep expertise in cloud platforms and modern data architectures, including Azure, AWS, Snowflake, Databricks, and related ecosystem tools, with demonstrated experience driving cloud-native data strategies at scale.
Proven track record leading enterprise data and analytics initiatives, including large-scale data platforms, data modernization, and advanced analytics capabilities across distributed environments.
Strong knowledge of big data technologies and large-scale data processing frameworks (e.g., Hadoop, Hive, Cloudera) and experience overseeing complex data warehousing, data lake, and lakehouse implementations.
Broad technical fluency across modern development stacks, including Python and related frameworks (e.g., Flask), as well as front-end and service-based architectures (e.g., React, Node.js), with the ability to guide architectural decisions without requiring hands-on coding.
Extensive experience working with large, complex data environments, including both OLTP and OLAP systems (e.g., Oracle, SQL Server, Teradata), and an understanding of data modeling, performance optimization, and data governance principles.
Demonstrated leadership in driving data governance, data quality, and data security practices, ensuring alignment with enterprise standards and regulatory requirements.
Experience with cross-functional teams and influencing enterprise-wide adoption of data products, including collaboration with technology, audit, risk, and business stakeholders.
Strong understanding of emerging technologies, including AI/ML, generative AI, agentic AI, and their practical application within data platforms and audit or risk use cases.
Willingness to travel as required.

Responsibilities

Work with a globally distributed team, fostering deep collaboration across infrastructure, security, application, and business audit functions to deliver integrated, enterprise-wide solutions.
Define and oversee the development of technical architectures and specifications for complex, large-scale initiatives, ensuring alignment with enterprise security, architecture, and regulatory standards.
Establish and drive multi-year data product roadmaps, prioritizing investments and leading the delivery of capabilities that transform the auditor experience and enhance audit effectiveness at scale.
Set and enforce enterprise development standards, influencing design decisions across the product lifecycle to ensure high-quality, secure, and scalable solutions.
Govern engineering excellence by instituting rigorous design and code review practices, ensuring consistency, quality, and adherence to organizational and regulatory expectations.
Build and lead cross-functional partnerships with data scientists, data engineers, and technology teams to deliver advanced data solutions within the Corporate Audit data ecosystem.
Drive the global execution of analytics-driven and automation initiatives, ensuring timely delivery while maximizing business value and operational impact.
Champion the advancement of data visualization, quantitative analytics, and insight generation capabilities to strengthen risk identification and decision-making across audit.
Cultivate and influence senior stakeholder relationships across business and technology organizations, including executive leadership within IT, to align priorities, secure investment, and drive adoption of data products.