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 Scotiabank’s 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 bank’s 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.

• 7–10+ 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.