Senior Product Owner, Personalization Data Layer

The Senior Manager Personalization Data Product Owner is accountable for defining prioritizing and driving the delivery of data capabilities that power Scotiabanks personalization ecosystem. This leader partners closely with Data Engineering Analytics Marketing Product and Technology teams to develop a scalable trusted and high-performance data foundation supporting real-time decisioning arbitration omnichannel orchestration and insights generation. The role is responsible for the full data product lifecycle: strategy roadmap backlog requirements delivery and value realization. This position is critical to enabling client-centric experiences at scale and accelerating the banks personalization maturity.

Data Strategy

• Define data product strategy and roadmap for the personalization data layer aligned to enterprise data strategies and personalization objectives.
• Translate business goals into clear data product outcomes KPIs and value propositions (e.g. data quality latency availability enrichment identity resolution).
• Establish the role of the data product within the broader personalization ecosystem including integration with decisioning arbitration and orchestration systems.

Product Management & Backlog Ownership

• Own and manage the product backlog: ensure prioritization is driven by business value technical feasibility and long-term strategic scalability and adoption.
• Develop and refine epics features user stories and data requirements in partnership with analytics engineering and business teams
• Define data use cases and requirements tied to client journeys and personalization requirements from business teams

Delivery & Execution

• Lead delivery ceremonies with Data Engineering Architecture Analytics and Technology teams to ensure on-time delivery of roadmap commitments.
• Remove barriers escalate issues and align cross-functional resources to ensure momentum and delivery predictability.
• Provide clarity on acceptance criteria data requirements and validation expectations to ensure successful implementation.
• Partner with Engineering to ensure scalable architecture and best practices.

Value Realization & Measurement

• Define KPIs and value measures that quantify the impact of the data product (e.g. personalization performance uplift adoption data availability SLAs reduced manual effort).
• Demonstrate value delivered and articulate progress against the Personalization North Star goals.

Stakeholder Engagement & Alignment

• Act as primary point of contact for personalization data needs across Digital Marketing Analytics and Technology.
• Translate technical concepts into business language ensuring stakeholders clearly understand value trade-offs and timelines.
• Influence senior leaders and governance forums using fact-based recommendations and sound benefit-valuation frameworks.

• 710 years experience in Product Management Data Product Ownership MarTech/Data Enablement or related technical leadership roles.
• Strong understanding of data engineering data modeling cloud platforms (GCP/AWS/Azure) real-time data pipelines and API integration patterns.
• Demonstrated experience working with personalization ecosystems (e.g. Adobe Experience Platform/AJO Pega CDH Salesforce Marketing Cloud or similar).
• Understanding of CDPs real-time decisioning engines and omnichannel orchestration platforms.
• Experience driving agile/iterative delivery with cross-functional teams.
• Ability to translate business needs into detailed data requirements and technical stories.
• Exceptional communication influencing and stakeholder-management skills across business and technology groups.
• Background in financial services digital marketing or customer analytics.