Associate Director, Data Strategy & Analytics

Darkroom•New York, NY

1d•Remote

About The Position

Darkroom is seeking an Associate Director, Data Strategy & Analytics, who will act as a senior growth marketer, data scientist, and applied-AI builder. This role involves translating marketing expertise into data models, metrics, and schemas that power Darkroom's AI intelligence layer, Shadow. Approximately 75% of the time will be dedicated to product development, focusing on designing metric logic, data schemas, and analytical models for Shadow's agents. The remaining 25% will involve measuring live media programs, guiding incrementality testing, power analysis, and MMM work, and collaborating with Paid Media and Growth Strategy teams to inform budget decisions based on test results. This position is ideal for individuals with extensive marketing experience who wish to transition into a technology-focused role, building product rather than managing accounts. The product-focused aspects are internal, not client-facing.

Requirements

Ran growth at one or more high-growth DTC / omni-channel consumer brands, managing paid media tactically.
Fluency across the full marketing mix (Meta + Google, plus TikTok, email/SMS, marketplace, organic), thinking in MER/CM/LTV/iROAS.
Real data science chops: SQL + Python/notebooks, statistical reasoning, building and validating metric models against messy real-world data.
Ability to translate between marketer intuition and rigorous structure, with a strong opinion about which metrics actually matter.
Hands-on experience designing and interpreting incrementality tests (geo holdouts, matched-market testing, conversion lift), including power analysis/pre-test sizing.
Experience with MMM, either hands-on or through vendor/partner management.
Strong written and verbal communication skills to explain measurement tradeoffs and model logic clearly to non-technical executives and marketers.

Nice To Haves

Familiarity with modern warehouse/analytics stacks (BigQuery, dbt) sufficient to design schemas and collaborate with engineering.
Agency or multi-brand background for pattern recognition across accounts.
Experience building attribution models, forecasting/MMM, or internal analytics dashboards.
Experience with CDPs, server-side tracking, clean rooms, exposure logs, or other privacy-safe measurement environments.

Responsibilities

Design the analytical models and metric logic the agent reasons with, including contribution margin (CM3), acquisition truth (aMER, NCAC), cohort LTV/payback, ad spend efficiency and marginal-return analysis, and incrementality testing (geo lifts, conversion-lift, MMM calibration) from raw platform data to decision-ready insight.
Define the schemas that encode marketing tradecraft, connecting creative, channel, financial, and customer data into a queryable picture of a brand.
Own accuracy and judgment regarding what is load-bearing versus noise, where attribution lies, and how to compute metrics that survive operator scrutiny.
Specify the model and partner with data engineering to build the pipeline and the AI team to integrate it into agent skills.
Guide incrementality testing strategy across Darkroom's paid media programs, including geo holdouts, matched-market tests, and conversion-lift studies, and run power analysis for correct test sizing before spend commitment.
Support MMM strategy, vendor evaluation, and model calibration for relevant programs.
Partner with Paid Media and Growth Strategy teams to design tests upfront and translate results into clear, executive-ready budget recommendations.