VP, Data Management Business Intelligence
Aviso Wealth, Canada
Job Description
Aviso Wealth:
At Aviso Wealth, we are dedicated to improving the financial well-being of Canadians. As a leading wealth management organization, we are committed to leadership, innovation, partnership, responsibility, and community. Working with talented and energetic professionals who exemplify our values every day, you will quickly notice that our people and dynamic ‘oneaviso’ culture sets us apart. If you are looking for interesting and challenging work, at a company committed to its people, find out more about what Aviso Wealth has to offer at www.aviso.ca.
The Opportunity:
We’re looking for a VP, Data Management amp; Business Intelligence to join our IT team.
Your role will be required to regularly perform essential duties on behalf of the company from your assigned Aviso office. Your role is considered medium flexibility, requiring you to work onsite 1-3 days per week at ouroffice at151 Yonge Street, Toronto, ON.
Reporting to the SVP, Chief Technology amp; Digital Officer the VP, Data Management amp; Business Intelligence is responsible for a unified, reliable, and timely source of data that supports consistent historical, operational, and predictive analytics across the Aviso. The VP, Data Management amp; Business Intelligence will lead efforts to structure data in a way that enables a single source of truth, ensuring data consistency, accuracy, and reliability. Additionally, this role will also implement a structure to support amp; service the data requirements of our business partners and to champion the further adoption of data analytics amp; data science.
Who you are:
- Service You consider both internal and external stakeholders and demonstrate intent of understanding and putting the clients’ needs first. You advocate service excellence and work to deliver solutions that meet the needs. You proactively develop strategic partnerships that allow Aviso Wealth to become a trusted advisor and partner
- Execution You are committed to achieving your goals and to succeed. This includes focusing on getting things done, as well as recognizing and taking advantage of opportunities as they arise. You are consistently looking for ways to improve your personal best and see value in continuous improvement. You take accountability for your actions and learn from mistakes
- Collaboration You work collaboratively with others with the common goal of driving positive results. Making meaningful contributions to your team to achieve organizational goals is a priority. You proactively encourage collaboration, build trust and inclusion, and work to establish effective relationships both inside and outside of the organization
- Leadership You lead your team and provide regular direction, guidance, coaching, and motivation, all while striving for peak performance. You assist them in overcoming obstacles through additional resources, removal of roadblocks, and providing the level of support required for their success. You delegate and deliver feedback based on the in-depth understanding of your individual team members
What your day looks like:
- Develop a strong partnership with business stakeholders to assess current and develop future program strategy, while leveraging new technologies to meet business needs
- Define a enterprise data management strategy encompassing a multi-year roadmap aligned to corporate objectives
- Establish a structure amp; service model to effectively amp; seamlessly provide data reporting services to our business partners (internal amp; external)
- Develop relationships with senior leadership stakeholders across the business to understand their opportunities amp; challenges
- Proactively provide recommendations and solutions to business partners
- Define and manage the analytical vision, priorities and strategy, and owning goals, outcomes and key results of the company working with other divisions and stakeholders for data engineering, data management, data governance, data integrations, and enterprise reporting
- Drive the implementation of advanced analytics techniques, including machine learning and predictive modeling, to enhance customer insights and business predictions
- Lead in-depth analysis of market trends, competitor performance, and consumer preferences to inform strategic decision-making
- Identify tools needed to expand data literacy amp; proficiency
- Provide oversight for data management projects, policies, and procedures
- Recommend improvements to the process both in terms of data collection, data consumption and storage
- Prioritize and execute business needs around data-driven insights
- Build and manage data governance and change management processes to ensure compliance