Data Analytics Director
2 months ago
As part of our journey to modernize and drive efficiencies across the Finance function, the Finance Data and Analytics team within Enterprise Finance plays a critical role in finance data governance, digital management reporting, and business data models.
The Director, Finance Data Analytics will be key in bringing Enterprise Finance's Analytics Strategy to life and further enabling a data insights-driven culture. This role will be crucial in driving consistency, quality, and reducing redundancies across Finance, while leveraging tools and technology to automate activities and digitize self-serve analytics.
Key Responsibilities- Create alignment with other areas of the global Finance organization on a set of consistent practices, capabilities, and standards in how we gain data insights within Finance.
- Provide input to data strategy and processes, including intake, new data sources, database design and structure, and data integrity that enables broad use of data analytics in Finance.
- Partner with Technology (DBTS) in supporting the deployment of effective data analytics and data science solutions.
- Establish collaborative relationships with various internal and external partners to implement best practices.
- Oversee, in partnership with Digital Business Technology and Solutions (DBTS), the development, production, and support of Enterprise Finance analytics.
- Identify and prioritize new use cases, including predictive analytics, advanced analytics, and GenAI use-cases, in partnership with the Finance stakeholders.
- Work with stakeholders to understand the needs, uses, and data flows in their area.
- Manage and oversee to securely integrate high-quality data and make it accessible to users.
- Collaborate and partner with DBTS to build out technical capabilities and consistent practices.
- Work closely with the Finance business areas and product owners to gather requirements and other use cases, and implement solutions that will reduce redundancies, improve transparency, and increase efficiencies.
- Leverage Tableau (Business Intelligence (BI) tool) and other technologies to unify multiple data sources, automate and improve operational efficiencies, and drive for the delivery of self-serve rich "blink and think" visuals that can be easily shared and developed.
- Adept an agile development methodology to deliver analytics.
- Maintain an understanding of external developments, disseminate to the Finance organization, and identify opportunities for emerging technologies and trends in the data analytics space.
- Prepare and present materials for senior management and other key stakeholders with recommendations and progress updates.
- Foster a culture of ownership, innovation, and continuous improvement.
- Lead, coach, and develop a high-performing team, specialized in building, implementing, and operating data analytics, both direct reports and cross-functional extended team.
- Provide professional development and mentorship to data scientists, data engineers, and BSAs, ensure engagement and attract talent.
- 7+ years relevant business experience in data science/advanced analytics, data engineering, strategy, governance, ideally as a practitioner within data and/or analytics.
- Expertise in Analytics life-cycle and best practices for developing, testing, rolling out, operating, and maintaining a portfolio of data analytics.
- Technical expertise with mathematical algorithms, libraries, Python, or other coding languages, as well as AWS/tools enabling prototyping or operating such analytics.
- Strong understanding of data architecture, relational databases (MS SQL), MS Office.
- Ability to translate business requirements to technology requirements and vice versa.
- Knowledge of data privacy and security practices relevant to the Financial Services industry.
- Strong results-oriented project management skills – well-organized, with strong attention to detail and quality.
- Excellent oral and written communication, and presentation skills, catering to various levels of management and audience with varying degrees of subject matter comprehension.
- Excellent negotiation and collaboration skills.
- Proven ability to influence the performance of others to deliver results.
- Proactive and self-motivated with strong problem-solving, organizational skills, and sound decision-making ability.
- Technology collaborator, building close partnership with technology teams to deliver solutions.
- Advanced degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline.
- Experience in financial services, preferably in the Finance and/or Actuarial field.
- Understanding of and experience in operating in an Agile model.
- Knowledge of multi-platform data environments and data architecture.
- A friendly, collaborative, and inclusive culture.
- Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.
- Competitive salary and bonus structure influenced by market range data.
- The opportunity to move along a variety of career paths with amazing networking potential.
- Pension, stock, and savings programs to help build and enhance your future financial security.
- Great Place to Work Certified for Most Trusted Executive Team in Canada – 2024 and 2023.
- Great Place to Work Certified for Best Workplaces in Canada – 2024 and 2022.
- Great Place to Work Certified for Best Workplaces for Women in Canada.
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