Senior Manager, GTM Data Science

pofft Technology Inc.; United States; On-site; USD 113,000 - 165,000; Full time

Job summary

Autodesk in the United States is seeking a Senior Manager of GTM Data Science to lead a diverse team of data scientists and own the portfolio of data science initiatives across customer engagement domains. You will partner with Sales, Marketing, and Customer Success to translate business questions into scalable ML products and measurable business value.

The role requires deep technical credibility, strong people leadership, and the ability to drive adoption of data-driven insights across GTM

Qualifications

• Senior leadership experience in data science and ML-driven go-to-market initiatives.
• Proven ability to translate business objectives into data-driven products and measurable impact.
• Experience leading cross-functional teams including Sales, Marketing and Customer Success.

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.
• ...

Skills

Data-Science-Manager

Head-Of-Data-Science

Machine-Learning-Manager

Senior-Data-Science-Manager

Senior-Manager-Data-Science

Job description

Senior Manager, GTM Data Science United States 1 gün 14 saat 20 dakika önce yayınlandı. Full Time Himalayas 158.000 - 231.000 CAD

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


• ...

Skills

Data-Science-Manager Head-Of-Data-Science Machine-Learning-Manager Senior-Data-Science-Manager Senior-Manager-Data-Science

Payment Type

annual

Price Range

158.000 - 231.000 CAD

Work Type

Full Time

Location

United States