Director, AI & Data Science (Marketing Measurement & Effectiveness)

Job Title: Director, AI & Data Science (Marketing Measurement & Effectiveness) Company: Artefact Job Category: Data Science Roles & Responsibilities: Agentic AI lands on marketing before it lands anywhere else. Agents browse, compare and buy; clicks stop meaning what they meant; the shelf turns into an API. Every senior marketing and commerce leader we talk to is asking the same two questions — am I still visible, and can I still prove what worked — and almost nobody can answer them. The Role We are hiring a Director to lead marketing measurement and effectiveness for our US client portfolio, starting with a large, in\-flight measurement program for a major US financial services client. This is a player\-coach role. You will own the methodology and the client relationship, lead a multi\-workstream data science team, and stay close enough to the models to challenge assumptions, review code and unblock hard technical problems yourself. You will also help us productize what we build — turning measurement work into reusable accelerators and points of view that scale across accounts. Lead measurement programs * Own the design, execution and interpretation of marketing measurement programs: MMM, geo and incrementality testing, attribution, experimentation and marketing optimization. * Own the statistical modeling architecture and the scientific rigor behind it — model specification, validation, calibration against live experimental results, honest treatment of uncertainty, and identification assumptions worked through with people who care as much as you do about getting them right. * Adapt frameworks to messy commercial reality: long consideration cycles, CRM\-driven demand, short flights, campaign overlap, brand and long\-term effects, channel and regional constraints, and privacy\-constrained measurement where the easy signal has disappeared. * Translate model output into media investment, budget allocation and scenario\-planning decisions the client can act on. Build and lead the team * Lead and develop data scientists and analysts across parallel workstreams; grow senior talent. * Set the delivery standards — reproducibility, documentation, QA and validation of analytical deliverables. * Work alongside scientists, engineers, creatives and strategists who will pick your models apart and then help you fix them — nobody here ships alone. Grow the account * Shape solutions, support proposals and scope new work; expand the relationship beyond the initial mandate. * Represent Artefact externally — white papers, conference talks, published methodologies. * Help decide what we productize next, what we stop doing, and how we take it to market — measurement is not a finished product. * Get direct access to senior client stakeholders, not a workstream lead reporting up through three layers: you present the method, defend it, own the recommendation, and you're in the room during qualification, before anything is signed. Preferred * Financial\-services experience, ideally in banking, wealth management, asset management, credit cards or insurance — this is domain depth we do not have internally and it transfers across accounts, so it's a priority filter, but we will trade it against exceptional measurement and AI strength. * Consulting, agency, measurement\-vendor or platform background across data\-intensive industries such as retail, CPG, healthcare or financial services (e.g., MMM/measurement providers, media agencies, or in\-house measurement functions). * Experience with brand and long\-term marketing measurement (brand tracking, brand equity, long\-term effects alongside short\-term performance). * Experience with major media platforms and ecosystems (Google, Meta, retail media, CTV) and their measurement products. * Evidence of external thought leadership: white papers, published methodologies, conference participation, or development of reusable measurement offerings. * Visualization and delivery tooling: Looker, Tableau, Power BI or equivalent; cloud data platforms (BigQuery, Snowflake, Databricks). Work Location: Montreal, Quebec, Canada Availability: Full time

The estimated base compensation for this role starts at $200,000 (NYC location). Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for competitive benefits. Key Skills: Data Science Salary: $200,000