Responsibilities

• Product Scoping: Partner with Sales pre-SOW to assess product-client fit, define the right model scope (e.g., DTC vs. DTC and Commerce), and provide input on SOW language to ensure commitments are accurate and achievable.
• Technical Onboarding: Support end-to-end data onboarding for all MMM engagements, serving as the primary technical resource for client data questions while partnering with Client Reporting, Client Delivery, and Econometrics.
• Pre-Readout Enablement: Partner with Client Delivery to prepare for the first model readout — helping the team understand model outputs and coaching them on how to use our toolkit to frame budget recommendations and strategic decisions for the client.
• Client Data Science Engagement: Lead methodology walkthroughs for client data science teams, fielding technical questions about model construction, assumptions, and outputs.
• Cross-Functional Coordination: Serve as the central point of contact across Client Reporting, Econometrics, Sales, and Client Delivery — ensuring continuity, preventing over-promising, and holding stakeholders accountable to timelines.
• AI-Powered Efficiency & Process Optimization: Identify and implement opportunities to use AI tools, agents, and automation to make workflows faster and more scalable. Standardize implementation processes into practical, repeatable products.
• Product Feedback: Synthesize engagement patterns and client feedback to inform feature development and improve the overall offering.

Requirements

• Mathematical Proficiency: Strong background in data analysis, statistics, or a related technical field — able to understand model methodologies and explain outputs to both technical and non-technical audiences.
• Project & Stakeholder Management: Proven ability to manage multiple concurrent engagements — building timelines, sequencing dependencies, and holding cross-functional partners accountable without direct authority.
• Data Literacy: Comfort in the "messy middle" of data and user needs, with an ability to simplify complex data sets into clear, actionable insights.
• Strategic Communication: Able to translate the "why" behind the "what" for internal stakeholders and external clients, including C-suite executives and client data science teams.
• Proactive Ownership: A "Maker's Mindset" — proposes solutions and drives projects forward with minimal hand-holding.
• Collaboration & Engineering Empathy: Experience partnering with model builders on technical hand-offs and QA.
• Client-Facing Experience: Comfortable with C-level executives and technical decision-makers; experience in a customer-facing or new-business-oriented role is a plus.
• Automation & AI Fluency: Demonstrated comfort using AI tools and automation to improve process efficiency, with a curiosity to keep pushing that capability forward.

Benefits

• Unlimited PTO: At Tinuiti, we believe you deserve time to rest, recharge, and enjoy life unplugged. When you prioritize time for yourself, you're able to bring your best self to work. That’s why we offer unlimited paid time off, a fully remote environment, and flexibility to take the time you need, when you need it. On top of that, we provide 20 paid holidays, including multiple long weekends, to ensure you have dedicated time to step away and disconnect. We're proud to offer above-industry standard work-life balance, consistently rated as one of the most loved benefits by Tinuitians year after year.
• Healthcare: Medical, Dental, Vision, Life & Disability, Flex Spending Accounts
• Retirement: Match up to 4% of your contributions at 100%
• Perks and Wellness: Fringe, Forma, Unlimited Telemedicine and Teletherapy available at no cost, Thankful giving, Equity
• Parental Leave: Birthing parents receive 16 weeks of leave with 100% pay (partners 12 weeks) after the birth or adoption of a child.
• Learning and Development: On-demand learning, mentorship program, leadership and management development programs and resources