Manager, Data & Analytics
Listed on 2026-02-28
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
See what you can do with Prophix
Prophix helps finance teams work with greater flexibility and confidence through Prophix One™, our Financial Performance Platform. We bring planning, reporting, and automation together so people can focus on higher-value work instead of repetitive tasks. As we introduce more AI-enabled capabilities, you will be part of a human-centered innovation journey where intelligent tools support better outcomes while people lead the decisions that matter.
We're headquartered in the Greater Toronto Area, with teams and offices across North America, Europe, and Australia.
Senior Manager, Data & Analytics to help lead and scale a modern, enterprise-wide analytics capability. In this strategic and high-impact role, you will shape how data is leveraged to drive business outcomes—from BI dashboards and AI solutions, to data-driven decision‑making across teams. Reporting to the Senior Director, Finance & Rev Ops, you’ll play a pivotal role in building both the team and the foundation that powers Prophix’s transformation into a data‑first organization.
WhatYou Will Do
- Lead and manage the execution of Prophix’s data and analytics strategy to enable data‑driven decision making.
- Build, coach, and lead a team of data professionals to deliver strategic and tactical data solutions.
- Partner with senior leaders across functions to gather requirements, prioritize needs, and define measurable outcomes.
- Design and oversee the architecture and operations of Prophix’s data infrastructure, including data warehousing, MDM, data governance, and reporting platforms.
- Champion a culture of data literacy and experimentation across the company.
- Operationalize advanced analytics capabilities, including dashboards, predictive models, and self‑service reporting.
- Define and implement enterprise‑wide policies for data governance, security, lineage, and quality.
- Collaborate cross‑functionally to integrate analytics into core business workflows and KPIs.
- Track and report progress on key initiatives and delivered business value to stakeholders.
- Ensure compliance with data regulations and advocate for ethical data usage.
If this role excites you but you don’t meet every requirement, we still encourage you to apply. At Prophix, curiosity, adaptability, and diverse perspectives matter. Your experience may be exactly what we need.
Required Qualifications- 5+ years of senior leadership experience in data and analytics, including data governance and data platform management.
- Proven experience building and leading cross‑functional data teams in fast‑paced, complex environments.
- Demonstrated success translating strategic goals into actionable analytics initiatives with measurable impact.
- Hands‑on experience with data ecosystems including Snowflake, Tableau, Power BI, Matillion, and Azure.
- Strong understanding of data lifecycle management, architecture, metadata, lineage, and MDM.
- Track record of delivering enterprise‑wide dashboards, AI/ML models, and self‑service analytics tools.
- Effective stakeholder engagement skills across technical and non‑technical audiences, including C‑level executives.
- Deep experience with Agile methodologies, modern SDLC practices, and cloud‑based data solutions.
- Strong communication and presentation skills with the ability to simplify complex topics.
- Bachelor's degree in Computer Science, Data Analytics, Engineering, or Business; MBA or Master’s preferred.
- Comfort using AI tools responsibly to support tasks such as research, drafting, or data review
- Curiosity and openness to exploring new approaches
- Collaborative mindset when working with teams and technology
- Must be legally entitled to work in the country where this role is located
- Experience driving large‑scale digital transformation in a global SaaS or tech company.
- Ability to create momentum in ambiguous situations and lead through influence.
- Familiarity with data privacy regulations and ethical AI principles.
- Experience embedding data into customer‑facing products or services.
- Passion for creating accessible, inclusive data practices and tools.
- 30 days:
You understand our tools, product, and…
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