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Added 1 hour ago
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Winter Co-op 2027 - AI
Manulife
Toronto, ON
- Full-time
As an AI Co-op, you’ll gain hands-on experience applying data science and machine learning techniques to solve real-world business problems. You’ll work with modern tools and datasets to…
Added 1 hour ago
M
Winter Co-op 2027 - Data Engineering
Manulife
Toronto, ON
- Full-time
As a Data Engineer Co-op, you’ll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You’ll work with modern data tools and…
Added 1 hour ago
M
Winter Co-op 2027 - Data Engineering
Manulife
Waterloo, ON
- Full-time
As a Data Engineer Co-op, you’ll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You’ll work with modern data tools and…
Added 1 hour ago
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International Quality Lead
Genentech
Mississauga, ON
- Full-time
…Critical to Quality (CtQ) framework. By generating actionable data and insights through audits, you will collaborate closely with international stakeholders and play a vital part in…
Added 1 hour ago
SM
Manager, Finance, Performance & Analytics
Stevenson Memorial Hospital
Alliston, ON
- Full-time
As a strategic partner to clinical, operational, and executive leaders, the Manager delivers financial and operational insights that support organizational performance, resource…
Added 1 hour ago
I
Omnichannel Analytics, Pharma
Indegene
Canada
- Full-time
Proven ability to translate data into business insights
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Spécialiste Senior des Médias Numériques
DAC
Montreal, QC
- Full-time
Démontrer la capacité de tirer des rapports et de fournir des insights et observations sur la performance des campagnes à un niveau élevé.
Added 1 hour ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of…
Added 1 hour ago
TD
Paid Media Strategist
Tiller Digital
Calgary, AB
- Full-time
Use campaign data, lead quality, and business outcomes to make thoughtful optimization decisions and identify new opportunities
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D
Director, Partner Solution Engineer
Docker
Remote, Canada
- Full-time
- Remote
Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance.
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AC
Senior Financial Analyst
Aston Carter
Toronto, ON
- $50 to $65 CAD / hour
- Contract
Proficiency in variance analysis and the ability to provide clear business insights based on financial results.
Added 2 hours ago
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Business Advisor
City of Saint John
Saint John, NB
- Full-time
Working across the organization, the Advisor uses customer feedback, service request data, operational trends and frontline insights to identify opportunities to improve how residents…
Added 2 hours ago
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Program Management PMO, Energy Strategy & Business Management
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Calgary, AB
- Full-time
The Role: Program Management PMO, Energy Strategy & Business Management
Added 2 hours ago
Kingston Office - Opportunities in Tax - Co-op Placement - April 2027 - St. Lawrence College
KPMG Canada
Kingston, ON
…challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where…
Added 3 hours ago
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Strategy & Operations Lead
eBay
Toronto, ON
- Full-time
The Global Analytics team is reimagining how data builds decisions, strategy, and innovation across the company. We sit at the center of insights - using AI and analytics to unlock growth,…
Added 3 hours ago
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Agriculture Technician
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Added 5 hours ago
Directeur Mondial, Analyses et perspectives
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Directeur Mondial, Analyses et perspectives/ Global Insights & Analytics Director
Added 5 hours ago
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Manager, Marketing Science
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Toronto, ON
- Full-time
…deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint - from global audiences…
Added 5 hours ago
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Analyst, Corporate Strategy
CAE
Montreal, QC
- Full-time
…critical special projects aimed at identifying and solving key business challenges in partnership with business divisions and functions. This person will also work frequently with the other…
Added 5 hours ago
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Real Estate Valuation Consultant (Remote)
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Consultant, Valuation Expert
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Senior Manager Print Category
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- Full-time
Manages activities of individual contributors and/or managers and directs the overall category management operations to achieve business objectives set by the senior management.
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VP, Brand Strategy
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Senior Financial Analyst
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Added 6 hours ago
Software Engineering Intern (2027)
Databricks
Vancouver, BC
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Autodesk

Senior Product Manager, Data Platform

Toronto, ON, Canada

For Canada based roles, we expect a starting base salary between $122,000 and $179,300. · Full-time

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Job details

Pay: For Canada based roles, we expect a starting base salary between $122,000 and $179,300.
Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Requisition ID #

26WD100898

Position Overview

Autodesk is hiring a Product Manager to join the Analytics Data Platform team. The Analytics Data organization builds and runs the data and AI platform Autodesk teams use to capture, produce, and deliver analytics at scale. It powers product health analytics across the portfolio, personalized insights inside AutoCAD, Revit, and Fusion, generative AI features, Autodesk Profile, and the Autodesk Assistant. The Analytics Data Platform team owns the infrastructure the platform runs on. This is where data lives, where compute processes it, and where work moves from one step to the next. It determines whether a team ships in a day or a quarter, and it drives the platform's cost, performance, and reliability. Our direction is self-serve and automated. Teams provision what they need in minutes, we modernize the engines and storage formats underneath, and we are opening the platform to agents that can provision, query, and optimize on a user's behalf. To get there, we are making the infrastructure work like one product, not a set of separate systems each team has to learn. As a Product Manager on the team, you will partner with a distributed engineering team to deliver this work, balancing the needs of platform users, including data engineers, scientists, analysts, and ML and BI teams, with the company's needs for cost, compliance, and reliability. We are looking for a hands-on, technically fluent product manager who leads through influence, enjoys making complex infrastructure simple to use, and knows that Autodesk's analytics and AI depend on getting this infrastructure right.

Responsibilities

Own the vision and roadmap for the platform's storage, compute, and the systems that connect analytics platform workflows
Define a unified, self-serve experience for getting storage, compute, and access on demand
Set the reliability bar for the platform and hold it there, so teams can run business-critical analytics and AI workloads with confidence
Give teams clear visibility into what they use, what it costs, and how to improve performance
Partner with a distributed engineering team, and talk to users directly to find what slows them down and add the fixes to the roadmap
Lead technical discussions, write clear product requirements, and run quarterly planning and prioritization
Manage the full lifecycle, from new capabilities through migrations to retirement, keeping the platform current as engines, formats, and cloud services change
Build in security and compliance from the start, including least-privilege, project-scoped access, and environment isolation
Track big data and AI infrastructure trends, and run vendor assessments when buying beats building
Measure and report the platform's impact, including time to provision, reliability, performance, adoption, and cost
Be the go-to expert and advocate for the platform, keeping documentation current and supporting the teams that build on it

Minimum Qualifications

4+ years in product management, including infrastructure or platform products at scale such as data platforms, cloud infrastructure, or developer tooling
Proven ability to align cross-functional and globally distributed teams without formal authority
Skilled at working with stakeholders, communicating early, anticipating needs, and building agreement with peers and senior leadership
Strong empathy for technical users, turning the daily problems of engineers, scientists, and analysts into product decisions
Able to connect platform decisions to business outcomes and to clear targets for cost, performance, and reliability
Able to prioritize across many competing teams and workloads
Technical depth to discuss storage, compute, query engines, and orchestration credibly with senior engineers, and to weigh the trade-offs of scale, performance, and cost
A clear communicator who drives adoption across internal teams
Fluency in product discovery, using research and data to learn what is worth building, whether it will work, and whether teams will use it
A track record of leading delivery end to end, including migrations where users actually move and the old path is retired
A data-driven approach, measuring how the platform is used and making decisions from that data

Preferred Qualifications

Experience with big data compute and query engines (such as Spark, Trino, or Athena) and container orchestration (Kubernetes or EKS)
Experience with lakehouse storage and open table formats (such as Iceberg) and warehouses (such as Snowflake)
Experience with orchestration and DataOps or MLOps tooling (such as Airflow, Temporal, or Metaflow)
Experience with access management for big data (project-scoped or role-based models, such as Ranger or Lake Formation)
Experience with platform observability and cost and performance management
Experience with the analytics surfaces that sit on top, such as Looker, notebooks, or query workbenches
Experience leading an infrastructure or platform migration at scale, including multi-region or data-residency requirements
Experience making build-versus-buy decisions and running vendor assessments

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $122,000 and $179,300. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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More about this job

Responsibilities

Own the vision and roadmap for the analytics platform’s storage, compute, and workflow infrastructure, delivering a unified self-service experience with strong reliability, security, and cost visibility. Partner with engineering and platform users to prioritize and deliver capabilities, manage migrations and lifecycle changes, measure platform impact, and support adoption.

Requirements

Requires at least four years of product management experience, including work on infrastructure or platform products at scale, and the ability to lead distributed teams through influence. Candidates should have technical fluency in data infrastructure and experience with discovery, prioritization, end-to-end delivery, migrations, and data-driven measurement; experience with the listed big data, orchestration, storage, and access-management technologies is preferred.

Skills

Product Management
Data Platform Strategy
Product Roadmapping
Data Infrastructure
Cloud Infrastructure
Storage and Compute
Query Engines
Data Orchestration
Product Discovery
Cross-Functional Leadership
Stakeholder Management
Platform Reliability
Cost and Performance Management
Security and Compliance
Migration Management
Vendor Assessment

Benefits

Annual Cash Bonuses
Commissions for Sales Roles
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Analytics Data Platform
Data Infrastructure
Self-Service Platform
Storage
Compute
Spark
Trino
Athena
Kubernetes
EKS
Lakehouse
Iceberg
Snowflake
Airflow
Temporal
Metaflow
DataOps
MLOps
Ranger
Lake Formation
Looker
Notebooks
Query Workbenches
Platform Observability
Access Management
Least-Privilege Access
Environment Isolation
Data Residency
Vendor Assessment
Build-versus-Buy Decisions

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