Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Director, AI & Data Science (Marketing Measurement & Effectiveness) role.
Rezi rewrites your resume against Artefact's job description. Free.
Tailor your resume to this Director, AI & Data Science (Marketing Measurement & Effectiveness) role.
Rezi rewrites your resume against Artefact's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Director, AI & Data Science (Marketing Measurement & Effectiveness) posting at Artefact — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Director, AI & Data Science (Marketing Measurement & Effectiveness) posting at Artefact — free, in seconds.
About 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 where you will own the methodology and 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 productize what we build, turning measurement work into reusable accelerators and points of view that scale across accounts. You should be able to step into a live, complex measurement program quickly and earn credibility with senior client stakeholders in the first weeks.
Responsibilities
- Own the hardest question in marketing: what actually caused the sales.
- Lead measurement programs, owning 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 scientific rigor behind it.
- Adapt frameworks to messy commercial reality.
- Translate model output into media investment, budget allocation and scenario-planning decisions the client can act on.
- Own the outcome, not just the deliverable.
- Work in the client's environment from day zero and stay there after launch.
- Build and deploy GenAI and agentic applications into production that change how measurement gets done and consumed.
- Contribute to Artefact's reusable measurement offerings, accelerators and IP.
- Get direct access to the frontier labs.
- Build and lead the team, leading and developing 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.
- Grow the account by shaping solutions, supporting proposals and scoping 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.
- Get direct access to senior client stakeholders.
Requirements
- Approximately 10+ years building Marketing Mix Modeling, incrementality and attribution work, applied statistics, causal inference, experimentation and marketing optimization, or the depth to match.
- Shipped models that changed how a real budget was spent, and can talk about the ones that failed.
- Genuine marketing fluency.
- Causal inference and Bayesian methods as a working craft.
- Comfortable across the wider toolkit: forecasting, optimization, experimentation platforms, and applied GenAI, with experience shipping generative AI or agentic AI applications into production for marketing, analytics and decision-making.
- Still writing code yourself.
- Strong client-facing and executive communication skills.
- Ability to lead complex and ambiguous measurement programs while remaining close enough to the work to challenge methodologies, review models and solve difficult technical problems yourself.
- Experience leading and developing data-science teams across multiple workstreams.
- A consulting and commercial mindset — shaping solutions, supporting proposals and expanding client relationships, and being in the room during qualification and solution design.
- MLOps and cloud industrialization.
- Use AI on your own work daily.
- Master's degree (or higher) in computer science, engineering, statistics/mathematics, or a related field, or equivalent research/industry experience.
- Financial-services experience, ideally in banking, wealth management, asset management, credit cards or insurance.
- Consulting, agency, measurement-vendor or platform background across data-intensive industries such as retail, CPG, healthcare or financial services.
- Experience with brand and long-term marketing measurement.
- 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.
- Experience with visualization and delivery tooling: Looker, Tableau, Power BI or equivalent; cloud data platforms (BigQuery, Snowflake, Databricks).
Skills
- Marketing Mix Modeling
- Incrementality testing
- Attribution
- Experimentation
- Marketing optimization
- Causal inference
- Bayesian methods
- Forecasting
- Optimization
- Experimentation platforms
- Applied GenAI
- Generative AI
- Agentic AI
- MLOps
- Cloud industrialization
- Looker
- Tableau
- Power BI
- BigQuery
- Snowflake
- Databricks
Location
- US
Work Type
- Hybrid
Experience Level
- 10+ years
Education Level
- Master's degree or higher in computer science, engineering, statistics/mathematics, or a related field, or equivalent research/industry experience.
Salary/Compensations
- $200,000 (NYC location)
Benefits
- Learning and Development opportunities
- Hybrid work model flexibility
- Medical, dental, and vision coverage
- 401(k) plan with company matching
- Paid parental leave
- Unlimited paid time off
- Growth Opportunities
About the Company
- Artefact is an applied AI company that builds systems that run in production.
- We have 2,500+ people across 27 countries and 1,000 clients, including some of the largest consumer brands in the world.
- We combine data at enterprise scale, an applied AI team that can put a model into a governed production environment, and the transformation muscle to make people actually use it.
- Agentic AI is transforming marketing and commerce, with leaders asking how to maintain visibility and prove effectiveness.
- We work with Anthropic, Google, OpenAI and Mistral as partners, with early access and the freedom to build with new technology.
Equal Opportunity
- We are united by our values and strengthened by our hybrid expertise.
- There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
- Client trust is won on the field: Addressing client needs flows better hands on at their side.
- If not used, it is useless: Our love for technology translates into a steep desire for adoption. True brilliance is about impact.
- If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefiting clients and colleagues.
- We learn every day: Tech is a land where everything moves at the speed of light. You better be ready to challenge yourself.