Senior Manager, Data Product Management - Bilingual English/Spanish

Scotiabank; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

Scotiabank is seeking a Senior Manager of Data Product Management to lead the end-to-end lifecycle of data products within the Global Wealth Management Data Centre of Excellence.

The role partners with business, technology and data stewards to deliver high-quality products, govern data, and measure impact through KPIs across enterprise data assets.

Qualifications

• Experience managing end-to-end data product lifecycles.
• Strong knowledge of data quality, storage, governance, and product ownership.
• Experience with SQL and Python for data management.
• Experience in Wealth Management or Financial Services.

Responsibilities

• Manage end-to-end data product lifecycle from ideation to launch.
• Define product requirements based on business needs and user feedback.
• Champion data governance and ensure adherence to policies and quality metrics.
• Develop and monitor KPIs for data products (usage, quality, business value).
• Collaborate with stakeholders to align data strategies and governance.

Skills

Data product lifecycle

Data governance

Stakeholder management

SQL

Python

Power BI

Looker

Cloud platforms

Databricks

Education

Undergraduate degree

Tools

Power BI

Looker

Databricks

GCP/Azure

Job description

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Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Senior Manager, Data Product Management, has a key role in the Global Wealth Management (GWM) Data Centre of Excellence. Reporting to the Director, Data Product Management, this role is responsible for the end-to-end lifecycle management of data products. The Senior Manager will work closely with business stakeholders, technology partners, and data stewards to define, develop, and deliver high-quality data products that drive business value and align with GWM's data strategy. This role is pivotal in fostering an insight-driven culture and ensuring that data is leveraged as a strategic asset across the organization.

Is this role right for you? In this role you will:

• Manage the entire data product lifecycle from ideation, through development and testing, to launch, and iteration
• Be responsible for the strategic vision around enabling enterprise-scale AI through trusted, governed, interoperable, and reusable data products that transform data into intelligent business outcomes
• Contribute to the data product roadmap, prioritize features, and define product requirements based on business needs and user feedback
• Champion data governance and ensure data products adhere to all policies, standards, and quality metrics.
• Work with Data Stewards to define and document metadata, data lineage, and quality controls for data products
• Develop and monitor key performance indicators (KPIs) for data products, including usage, quality, and business value
• Collaborate with business lines, technology teams, and the Chief Data Office (CDO) to ensure alignment of data strategies, standards, and governance
• Act as a key liaison between technical teams and business users to translate business needs into technical requirements and vice versa
• Foster cross-functional collaboration to ensure efficient data access and management
• Identify new opportunities to create business value through the development of innovative data products
• Support the strategic, use-case-based approach to growing data product capabilities and maturing GWM's data practice

Do you have the skills that will enable you to succeed in this role? – We’d love to work with you if you have:

• Undergraduate degree in technology, commerce, or a related field
• Spanish language skills are mandatory due to regular interactions with Spanish-speaking clients and stakeholders
• Strong knowledge of industry standards, trends in data products, data quality, data storage and distribution solutions, data governance, and product ownership
• Excellent negotiation skills when communicating with business and technical stakeholders and aligning needs, capabilities, and technology.
• Proven experience managing the end-to-end product lifecycle for data-intensive products
• Strong knowledge of the Wealth Management or Financial Services industry is required
• Experience with data management tools and query languages (e.g., SQL, Python)
• Familiarity with data analytics and visualization tools (e.g., Power BI, Looker).
• Knowledge of modern data platforms and cloud environments (e.g., GCP, Azure, Databricks) is an asset
• Excellent stakeholder management, negotiation, and communication skills
• Strong ability to explain complex data concepts to both technical and non-technical audiences
• Creative, self-starting, and results-oriented with a strong ability to solve complex problems
• Proven ability to balance strategic vision with practical, hands-on execution

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.