Data Product Owner

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Job Description - Data Product Owner

Story Behind the Need:

• Business group: IWM Advisor & Client Solutions
• The Data Product Owner – Business Platforms & Experience contributes to the overall success of International Wealth Management organization (IWM) strategy, by enabling a common data platform for all wealth applications, and International Wealth Management in resolving complex business and data issues.

Project:

• This is a demanding hands-on role which requires the incumbent to be knowledgeable of the data architecture, managing highly complex projects, specific to data, and has in-depth experience collaborating with multi-jurisdictional teams.
• The incumbent should have the ability to develop recommendations, propose solutions, and define functional requirements, in collaboration with business, tech, and various other partners. Additionally, should be highly analytical and have a good understanding of databases, technical architecture, and query tools, with previous experience in wealth management or capital markets or related domains.
• This role will be focused on acceleration of IWM’s data & analytics transformation, particularly on implementing a Wealth Data Hub; build a data platform that consolidates information structured by relevant domains such as clients, portfolio, and performance, enabling Advisor and Client experience across IWM.

Candidate Value Proposition:

• The successful candidate will have the opportunity to work in a growing business with exposure to various stakeholders including leadership to enhance their network and skills within the bank.
• The successful candidate will be a part of transformation in a strategic part of the bank such as International Wealth Management, to help accelerate growth and get to do high impact work.
• Candidate will be working with the international team and will get to travel internationally along with the exposure to learn big data cloud technologies.

Typical Day in Role:

• Support the definition of the International Wealth Management data hub strategy and roadmap to drive specific operational data capabilities.
• Work collectively with the Business Platforms and Experience team to articulate business requirements into system requirements for new enhancements or projects.
• Responsible and accountable for the business requirements/specifications to be complete, correct, consistent, concise, and achievable.
• Collaborate with head office and in-country business partners to Document, analyze, research, and define user and system requirements and features relating to strategic data projects/initiatives. Develop and deliver Business Requirements Documents, source-to-target data mapping, data specifications, User stories, as required.
• Document data transformation and cleansing rules for data migration. Previous expertise with Data warehousing projects.
• Provide expertise on systems gap analysis and potential risks/issues on projects, enhancements, and initiatives.
• Acts as a liaison between business and IT to provide technical solutions to meet user needs. Present recommendations with technology teams, collaborating on system design, and understanding process, database structures, and Data Model.
• Responsible for reviewing and analyzing end-to-end testing results for data projects.
• Manage communications and status reporting of ongoing initiatives, including summarizing project risks and options and facilitating prompt decisions when needed.
• Provide expertise on relational and dimensional data modelling.
• Provide the team expertise on data models such as star and snowflake schemas.
• Proficiency in SQL is a must have.

Candidate Requirements/Must Have Skills:

• 10+ years of experience in big data analysis, data engineering, or data architecture field
• 3-5 years in a managerial or leadership role – Experience in leading and coaching teams, with track record of attracting and developing talent.
• 8-10 years in experience in relational databases and SQL; ability to run complex queries independently.
• Hands on experience in big data tools and technologies, as well as data visualization and reporting tools such as PowerBI.
• Strong knowledge of data governance, data quality, and data security best practices.
• Experience in working with cloud-based data platforms, preferably Google Cloud Platform.
• Proven ability to translate business requirements into technical specifications and deliver working results.

Soft Skills Required:

• Critical thinking skills: using logic and reasoning to evaluate alternative solutions, summarize conclusions and approaches to mitigate risks. Excellent analytical, problem-solving, and communication skills.
• Ability to develop strong working relationships with business and technology partners globally.

Nice-To-Have Skills:

• Full proficiency in Spanish, nice to have, an asset.
• Relevant working experience in the financial sector, Wealth Management, or capital markets experience, in data projects, an asset.
• Portfolio link if possible

Education:

• Post-Secondary education and Advanced degree preferred but not mandatory in data analytics.

Best VS. Average Candidate:

• The ideal candidate would have previous client experience or wealth management initiatives experience. Has led/managed a team of Data analysts / Data engineers in his recent position.

Candidate Review & Interview Selection:

• 1st – HM – 30 -45 mins – MS Teams Video – experience on the resume
• 2nd – Director +VP – 30 – 45 mins – MS Teams Video

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