Lead and develop teams responsible for strategic data products and platforms, driving execution of product roadmaps, data enablement capabilities, and business outcomes.
Serve as the executive-facing product manager, providing thought leadership, performance reporting, risk assessments, and investment recommendations.
Define and execute product strategy, roadmaps, OKRs, and priorities for the Consent Engine, Offer Management platform, and other critical marketing data products.
Prioritize investments, use cases, and Program Increment (PI) objectives to maximize business value, customer experience, risk reduction, and operational efficiency.
Partner with business, technology, architecture, legal, compliance, privacy, and risk teams to deliver scalable, resilient, and compliant data product capabilities that align with enterprise architecture, data governance, and regulatory requirements.
Evaluate technology-proposed designs and testing results to confirm alignment with business expectations.
Prioritize, evaluate, and propose solutions for incidents and data defects potentially impacting production data quality or data operations.
Champion strong governance, data quality, testing, validation, and operational readiness practices throughout the product lifecycle.
Drive continuous improvement through data-driven decision making, process reengineering, automation, and AI-enabled capabilities that improve efficiency, controls, and customer outcomes.
Promote product adoption and enterprise data productization through stakeholder engagement, communication, and enablement activities, and measure adoption and return through quantitative ROI metrics.
Support ongoing Control performance, validation, risk measurement and audit initiatives designed to reduce risk exposure for responsible data products.
Experience defining and executing product strategy, roadmaps, prioritization, OKRs, and investment decisions for enterprise-scale data products.
Experience leading highly regulated products or programs involving customer data, privacy, governance, compliance, and risk management.
Strong analytical and data-driven decision-making skills, including experience with modern data platforms and technologies such as GCP, SQL, and MongoDB.
Experience in financial services or other highly regulated industries.
Experience with customer consent management, privacy programs, offer management, decisioning platforms, marketing technology, or customer engagement ecosystems.
Experience with cloud-based data architectures, APIs, event-driven architectures, microservices, and modern integration patterns.
Strong understanding of the end-to-end data lifecycle, including data governance, data quality, controls, monitoring, and remediation.
Experience partnering with business, technology, risk, compliance, and executive stakeholders to deliver complex cross-functional initiatives.
Experience leading UAT, production validation, release readiness, and operational implementation processes.
Knowledge of Agile, SAFe, product management, and PI planning methodologies.
Demonstrated ability to communicate complex technical concepts to executive and non-technical audiences.
Proven ability to balance innovation, regulatory requirements, risk management, and business value delivery in a large enterprise environment.
Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, Engineering, or a related field; advanced degree or relevant certifications preferred.
Experience applying AI, automation, or workflow technologies to improve products, processes, and operating models.
Understanding of responsible AI practices, model risk, data risk, and risk, control & governance requirements in regulated environments.
This position is not eligible for Visa sponsorship.
Required locations listed.
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
