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Gestionnaire, Gestion de la croissance des revenus (RGM) des marques/ Associate Manager, Brand Revenue Growth Management (RGM)
Keurig Dr Pepper Canada
Montreal, QC
Full-time
The Associate Manager, Brand Revenue Growth Management (RGM) is responsible for driving profitable growth across a portfolio of brands through category analytics, commercial strategy,…
Gestionnaire, Gestion de la croissance des revenus (RGM) des marques/ Associate Manager, Brand Revenue Growth Management (RGM)
Keurig Dr Pepper
Montreal, QC
Full-time
The Associate Manager, Brand Revenue Growth Management (RGM) is responsible for driving profitable growth across a portfolio of brands through category analytics, commercial strategy,…
Key Account Manager
Greenstone Meats
Toronto, ON
Full-time
The Key Account Manager is responsible for managing and growing strategic retail customer relationships within the grocery and mass merchandise channel. This role serves as the primary…
Key Account Manager
Lock Search Group
Toronto, ON · Greater Toronto Area, Canada
Full-time
This is an excellent opportunity for an ambitious CPG sales professional who enjoys combining customer relationship management, analytics, commercial strategy and execution to identify…
Commercial Business Analyst
H&M
Toronto, Ontario
Full-time
Support Experience Lead, E-com Leads, Commercial Managers and Marketing team with analytics activities and share insights
Commercial Business Analyst
H&M Group
Toronto, Ontario
Full-time
Support Experience Lead, E-com Leads, Commercial Managers and Marketing team with analytics activities and share insights
Business Unit Head - Injectable Aesthetics
Galderma
Toronto, ON
200,000 to 235,000 CAD / year
Full-time
Develop and implement commercial excellence programs to optimize sales force effectiveness, customer engagement, and ROI on promotional spend
Manager, Revenue Growth Management
Maple Leaf Foods Inc
Mississauga, ON
96,000 to 141,000 CAD / year
Full-time
The Revenue Growth Manager is responsible to lead the development of retail pricing strategies that align with the brand & category go-to-market strategies as developed by Category…
CXF Manager
Takeda Canada Inc.
Toronto, Ontario
Full-time
As the CXF Manager, you will be responsible for enabling the successful deployment, adoption, and optimization of CRM and related customer engagement platforms within the LOC. You will lead…
CXF Manager
Takeda
Toronto, Ontario · CAN - Toronto Head Office
Full-time
As the CXF Manager, you will be responsible for enabling the successful deployment, adoption, and optimization of CRM and related customer engagement platforms within the LOC. You will lead…
Senior Category Manager
SNDL Inc.
Edmonton, AB · Kelowna, BC · Kitchener, ON · Toronto, ON · AB · BC
Full-time
Reporting to the Senior Director, Retail Merchandising & Commercial Strategy, you’ll be accountable for driving sales, margin, and other objectives whilst ensuring strategies are tailored…
Director, Growth & Commercial Intelligence
Bomber
Edmonton, AB
Full-time
…clearer view of customer behaviour, revenue performance and the effectiveness of major commercial investments. Working closely with Bomber’s Creative, Finance, Operations and Sales teams,…
Senior Manager, GTM Data Science
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
…teams to make better customer decisions using trusted data, analytics, and data science. The Data Science team develops Machine Learning products that help Sales, Marketing, and Customer…
Directeur général - Spectacles résidents et en tournée | General Manager - Resident & Touring Shows
Cirque du Soleil Entertainment Group
Montreal, QC
Full-time
…possèdent un solide parcours en leadership d'affaires, un sens commercial aiguisé, une exécution rigoureuse et une capacité…
Brand Manager, Jamieson, Canada BU
Jamieson Wellness Inc.
Toronto, ON
80,550 to 120,850 CAD / year
Full-time
Reporting to the Marketing Director, Jamieson, Canada BU, the Brand Manager Jamieson Canada will work in close partnership with the Marketing Director to drive portfolio strategy and…
Operations & Administration Manager
The Northern Miner
Toronto, ON
Full-time
The Operations & Administration Manager supports the efficient operation of The Northern Miner Group through sales administration, executive support, office administration, operational…
Digital/AI & Omnichannel Senior Lead
CSL
Ottawa, Ontario
Full-time
…and AI initiatives that enhance customer experience, business effectiveness, and organizational capability. Working closely with Commercial, Marketing, Sales, Medical, and other…
Director, Revenue Operations, AI & Workprocess Innovation
Ametek, Inc.
Levis, QC
Additionally, this role oversees Revenue Operations (RevOps), with a particular focus on Sales Operations and revenue recognition, ensuring alignment between commercial execution, financial…
Regional Director Investments, Private Investment Counsel
BMO
Montreal, QC · IBMM
Full-time
…support growth objectives, deepen client relationships, improve sales effectiveness, and allow our team of professionals to deliver an exceptional client experience. The Regional Director…
Senior Manager Loan Portfolio Management, Business Credit
RBC
Toronto, ON
Full-time
As Senior Manager Loan Portfolio Management, Business Credit you responsible for designing and executing a transformational, proactive approach to manage the Canadian business credit. You…
Senior Manager Loan Portfolio Management, Business Credit
RBC
Toronto, ON
Full-time
As Senior Manager Loan Portfolio Management, Business Credit you responsible for designing and executing a transformational, proactive approach to manage the Canadian business credit. You…
Senior Manager Loan Portfolio Management, Business Credit
Royal Bank of Canada
Toronto, ON
Full-time
As Senior Manager Loan Portfolio Management, Business Credit you responsible for designing and executing a transformational, proactive approach to manage the Canadian business credit. You…
Director, Account Management
Cymax Group Technologies
Vancouver, British Columbia
130,000 to 150,000 CAD / year
Full-time
This is a hands-on commercial leadership role that blends sales, operations, project management, and team leadership. The Director of Account Management owns Cymax Group's vendor portfolio…
Head of Sales- Verisk Canada
Verisk
Markham, ON
Full-time
…consulting team, execute and track day -to day customer requests and sales support, help close sales, assist in and ensure deliver of agreed service or product, manager partner and supplier…
Senior Manager, Marketing & Communications
Liberty Mutual Canada
Toronto, ON
130,000 to 170,000 CAD / year
Full-time
Establish meaningful measures of success and use data, analytics, audience insights and feedback to evaluate effectiveness, demonstrate business value and continuously improve programs.

Autodesk

Senior Manager, GTM Data Science

Toronto, ON, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

Full-time

For Canada based roles, we expect a starting base salary between $158,000 and $231,000.

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

Lead a team of data scientists to develop machine learning products that optimize customer engagement, retention, and growth strategies. Partner with senior leadership to translate business objectives into actionable data science roadmaps and measurable decision frameworks.

Requirements

Requires 8+ years of experience in data science or quantitative fields with at least 3 years in a management role. Candidates must possess an advanced degree in a quantitative discipline and strong technical proficiency in Python, R, and SQL.

Experience

10+ years

Education

postgraduate degree

Working hours

40 hours per week

Job type

Full-time

Work arrangement

On-site

Skills

Data science
Machine learning
Python
R
SQL
Statistical modeling
Experimentation
Causal inference
Propensity modeling
Decision intelligence
Leadership
Strategic planning
Stakeholder management
Cross-functional collaboration
Product management
Predictive analytics

Benefits

Annual cash bonuses
Stock grants

Minimum pay

$158,000

Maximum pay

$231,000

Pay currency

CAD

Pay period

YEAR

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
R
SQL
B2B SaaS
Customer Lifecycle
Predictive Modeling
Causal Inference
Experimentation
Propensity Modeling
Decision Intelligence
Next-best-action
Churn Analysis
Segmentation
Attribution
Data Engineering
MLOps
Statistical Modeling
Product Strategy
Stakeholder Management
Leadership
Autodesk
Go-to-Market
Customer Success
Sales Analytics
Marketing Analytics
Data Quality
Model Evaluation
Business Intelligence

Original job description

Job Requisition ID #

26WD101004

Position Overview

The Go-to-Market Data & Intelligence (GDI) organization empowers Autodesk teams to make better customer decisions using trusted data, analytics, and data science. The Data Science team develops Machine Learning products that help Sales, Marketing, and Customer Success teams determine which customers to engage, when to engage them, what actions to take, and how to measure the impact of those actions.

We are looking for a dynamic Senior Manager, GTM Data Science to join the GDI leadership team. You will lead a diverse team of data scientists and own the portfolio, execution, adoption, and measurable business impact of data science initiatives across customer intelligence domains. This role requires deep technical credibility, strong people leadership, operating discipline, and the ability to influence senior business and data leaders.

The data science team applies descriptive, predictive, and experimental methods to customer data to optimize decisions related to customer renewals, expansion, and segmentation. The data science team partners closely with GDI program management, analytics, ML engineering, and GTM teams and their operational partners to create customer intelligence experiences that are embedded in GTM workflows.

Success in this role is not measured only by the quality of models or insights delivered. You will be accountable for translating ambiguous business objectives into the right problems and products, prioritizing opportunities by expected business value, working across functions to integrate data science products into how GTM teams work, and demonstrating that those products improve decisions and business outcomes.

Responsibilities

Shape the multi-quarter Data Science roadmap for customer engagement use cases, aligned with GDI priorities and Autodesk business objectives
Partner with senior leaders across Sales, Marketing, and Customer Success to identify and prioritize the decisions where data science can create the greatest customer and business value
Translate ambiguous strategic questions into clear decision frameworks, analytical problem statements, intervention strategies, success metrics, and business cases
Serve as a strategic thought partner to executives and cross-functional leaders; challenge assumptions, make clear recommendations, and communicate tradeoffs in a way that supports timely decisions
Define success measures before development begins and hold the team and partners accountable for adoption and realized outcomes, including customer retention and growth, conversion, engagement effectiveness, seller and marketer productivity, and resource allocation
Own and actively manage a portfolio of Decision Intelligence initiatives across areas such as retention and churn, growth potential, upsell and cross-sell, segmentation, propensity and lead prioritization, license compliance, attribution, benchmarking, what-if scenarios, and next-best action
Lead the end-to-end lifecycle from problem formulation and data readiness through modeling, validation, deployment, workflow integration, experimentation, impact measurement, and post-launch monitoring
Make explicit portfolio tradeoffs, sequence work based on expected value and feasibility, and redirect or stop initiatives when evidence indicates that the opportunity is no longer compelling
Partner with GDI program management, analytics engineering, data engineering, product managers, and federated analytics teams to define requirements, operating dependencies, delivery plans, and adoption mechanisms
Establish clear operating rhythms and quality standards for the team, including roadmap reviews, technical reviews, launch readiness, outcome reviews, and escalation of material risks
Provide technical leadership that ensures the problem formulation matches the decision need - including when to use prediction, experimentation, causal inference, optimization, ranking, simulation, or other approaches
Guide the team across statistical modeling, machine learning, experimentation, causal methods, propensity and uplift modeling, scoring and prioritization, and related advanced analytics techniques
Maintain a high technical bar for data quality, leakage prevention, model evaluation and calibration, reproducibility, explainability, bias and fairness considerations, drift monitoring, and offline versus online performance
Ensure machine learning products connect predictions or insights to specific actions, interventions, or policies and that their incremental impact can be measured whenever practical
Stay current on advances in machine learning, AI, experimentation, causal inference, and decision intelligence, and apply the appropriate methods when to improve customer or business outcomes
Lead, recruit, retain, and develop a high-performing team of data scientists with clear roles, standards, accountability, and career expectations
Coach senior individual contributors and emerging leaders, developing both deep technical capability and the judgment required to operate effectively with business stakeholders
Conduct performance and talent reviews, provide candid and actionable feedback, identify development opportunities, and build succession and hiring plans for critical capabilities
Create an inclusive team environment that values rigorous technical debate, curiosity, continuous learning, cross-functional collaboration, and accountability for outcomes
Build organizational capability beyond individual projects by improving reusable methods, decision frameworks, operating practices, and partnerships across the broader EDA organization

Minimum Qualifications

8+ years of experience in data science, machine learning, advanced analytics, or a related quantitative field, including significant hands-on applied experience
3+ years of experience managing data science, machine learning, or advanced analytics teams
Advanced degree in a quantitative discipline such as statistics, mathematics, economics, computer science, engineering, or a related field, or equivalent practical experience
Strong technical fluency in Python or R and SQL, with the ability to engage in detailed technical design and model-review discussions
Demonstrated experience taking analytical or machine learning products from an ambiguous business problem through development, deployment, adoption, and measurable impact
Strong knowledge of statistical modeling, machine learning, experimentation, causal inference, and model evaluation techniques
Demonstrated ability to identify the right business problems to solve and translate business objectives into decision, measurement, and analytical frameworks
Experience influencing senior stakeholders with data and analysis and leading cross-functional initiatives that depend on contributions from multiple disciplines
Excellent written and verbal communication skills, with the ability to explain complex concepts, recommendations, risks, and tradeoffs to audiences ranging from technical practitioners to executives
Strong judgment, ownership, and execution: you proactively identify gaps, resolve ambiguity, make clear recommendations, and remain accountable for outcomes across organizational boundaries

Preferred Qualifications

Experience with B2B SaaS, subscription, customer lifecycle, or commercial analytics supporting Sales, Marketing, and/or Customer Success
Experience building or scaling decision intelligence, next-best-action, propensity, prioritization, experimentation, or other analytical products embedded in operational workflows
Experience with production machine learning and the operational lifecycle of models, including monitoring, retraining, and collaboration with engineering or MLOps teams
Experience managing a portfolio of analytical products and making prioritization decisions based on expected customer or business value
Experience developing senior technical talent, organizational capability, and operating mechanisms in a growing data science organization

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 $158,000 and $231,000. 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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