We are hiring an Assistant Vice President, Strategic Analytics
Reporting To
Chief Transformation Officer
Full-Time/Part- Time
Full-time
Salary Range
$177,500.00 - $197,500.00
Posting Date
April 27, 2026
Closing Date
May 11, 2026
Hours Of Work
8:30 a.m. – 5:00 p.m.
Grade
Office Location:
20.6
Great location! Steps away from the main public transit station
What We Offer
Highly competitive compensation package which includes, base salary, bonus, benefits, and career advancement opportunities!
- Eligibility for benefits is dependent on the terms of employment
The Opportunity
The Assistant Vice President of Strategic Analytics will be responsible for building and running First National’s strategic analytics practice to drive strategic and operational decision-making across the business.
This role will lead the development of analytics capabilities, reporting frameworks, and advanced analytical solutions that support performance improvement, automation initiatives, portfolio insights, customer experience, and business growth. The Assistant Vice President of Strategic Analytics will partner closely with senior leaders across the residential, commercial, servicing, finance, risk, and technology teams to identify opportunities, prioritize initiatives, and deliver measurable business value.
How You Will Contribute
Build First National’s Strategic Analytics Practice
- Build and run First National’s high-performing strategic analytics practice
- Develop and own First National’s “Data Strategy” by building a holistic view of data and analytics across the business, bridging the gap between technical experts and business stakeholders
- Establish best practices for modern data modelling, ELT logic, and dashboard design
- Implement modern analytics practices and tooling that enhance decision-making capabilities and strengthen competitive advantages
- Partner with technical and business teams to improve data quality, governance, accessibility, and the scalability of analytics assets
- Run a cross-functional analytics steering committee of technical stakeholders, business leaders, and the transformation office that is responsible for aligning on data definitions, prioritizing project backlog, and launching data products across the organization
Build Outstanding Analytical Products That Enable Data-Driven Decision Making
- Oversee the development of data models, dashboards, scorecards, and management reporting used by stakeholders across the organization to make better data-driven decisions
- Lead your team to build First National’s core data models and maintain the central data warehouse
- Build a single source of truth / self-serve data platform for power users across the business to use and pull data from
- Enable your team to translate complex business logic and data into clear, actionable insights for senior executives and non-technical stakeholders
- Utilize data capabilities to partner with business stakeholders and drive high-impact strategic projects
- Help train and empower power users across the business on how to successfully use data to answer questions
- Build a data catalogue, allowing users to understand data sources and KPI definitions
- Understand the data regulatory environment and make appropriate trade-offs to comply with regulations and industry guidelines
- Prioritize and pursue additional analytics use cases based on feasibility, impact, and alignment with strategic goals
The Experience You Need
- 8+ years of progressive experience in analytics, business intelligence, strategy, data science, or a related field, with meaningful people leadership experience
- Proven success leading analytics teams and delivering business impact in complex, data-rich environments
- Strong experience partnering with senior business stakeholders and influencing decisions through data and structured problem-solving
- Exceptional analytical and strategic thinking skills, with the ability to solve broad, ambiguous business problems
- Strong communication and storytelling skills, including the ability to explain complex analysis clearly to executive and non-technical audiences
- Advanced knowledge of and experience with cloud data warehouses (Databricks, Google BigQuery, Snowflake, AWS Redshift, Clickhouse), ELT pipelines, data modelling tools (dbt), and business intelligence platforms (Power BI, Looker, Tableau)
- Proficiency in data manipulation languages like SQL, Python, or R
- Strong understanding of data governance, data quality, and the importance of scalable, reliable analytics infrastructure
Relationships
External Customers: Customers (e.g., 3rd parties), IT, Data & Analytics, Privacy, Compliance departments (from Sr Manager to C-level and frequency as needed)
Internal Customers: Partner closely with senior leaders across the residential, commercial, servicing, finance, risk, and technology teams (up to C-level, and CEO and frequency as needed)
Working Environment And Physical Demands An