Senior Manager, Data Product Management
- Toronto, ON, M5H 0B4, Canada
Applications open in a new tab.
Job details
- Apply by
- Posting language
- English
- Posted
Original job description
Requisition ID: 276428
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The Senior Manager, Data Product Management, is a key role within the Global Wealth Management (GWM) Data Centre of Excellence (Data CoE). 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 insights-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.
- 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 on 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:
- An Undergraduate degree in technology, commerce, or a related field
- 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 highly preferred
- Strong understanding of financial markets data, including securities, equities, fixed income, investment products, and financial instruments, along with their key attributes, classifications, identifiers, and relationships
- 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. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. 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.
More about this job
Responsibilities
The Senior Manager is responsible for the end-to-end lifecycle management of data products within the Global Wealth Management Data Centre of Excellence. They will collaborate with business and technology stakeholders to define product roadmaps, ensure data governance compliance, and drive business value through innovative data solutions.
Requirements
Candidates must possess an undergraduate degree in technology or commerce and have proven experience managing data-intensive product lifecycles. Strong knowledge of financial services, data management tools, and the ability to translate complex technical requirements for non-technical stakeholders are essential.
Skills
- Data Product Management
- Data Governance
- Product Lifecycle Management
- Stakeholder Management
- Data Strategy
- SQL
- Python
- Power BI
- Looker
- GCP
- Azure
- Databricks
- Financial Markets Data
- Data Analytics
- Negotiation
- Data Lineage
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Management & Leadership
- Finance & Accounting
- Technology
- Software
Keywords
- Data Product Management
- Wealth Management
- Data Governance
- Product Lifecycle
- SQL
- Python
- Power BI
- Looker
- GCP
- Azure
- Databricks
- Financial Services
- Data Strategy
- Metadata
- Data Lineage
- KPIs
- Stakeholder Management
- Cloud Environments
- Data Analytics
- Financial Instruments