Manager, Performance Analytics & Innovation

Gatesman•Pittsburgh, PA

4d•Hybrid

About The Position

The Manager, Performance Analytics & Innovation serves as a strategic and technical contributor within the Marketing Intelligence & Innovation (MI²) team. This role blends performance analytics, measurement strategy, emerging technology and a builder’s mindset to solve complex marketing challenges and develop new capabilities that move our clients and agency forward. This person serves as a trusted analytics and technical voice for clients and internal teams, helping determine how to measure what matters, solve data and tracking challenges, and translate data into meaningful action. They are comfortable moving between business questions and technical solutions and can communicate complex topics clearly to both technical and non-technical audiences. A critical part of this role is expanding Gatesman’s AI and innovation capabilities. This individual will build on the agency’s existing momentum by independently exploring new technologies and methodologies, developing and testing new solutions, and turning what works into repeatable systems and practices that can scale across teams and clients.

Requirements

5–8 years of experience in marketing analytics, digital analytics, performance marketing, data strategy or a related discipline.
Strong understanding of digital marketing measurement, including experience developing measurement strategies and working with platforms such as GA4 and Google Tag Manager.
Experience analyzing marketing data and translating findings into meaningful insights and recommendations.
Experience working with structured datasets and working knowledge of SQL or similar methods for querying and analyzing data.
Strong client-facing communication and presentation skills, with the ability to explain complex data or technical concepts clearly.
Demonstrated ability to independently learn new technologies or methodologies, solve problems and move work forward without detailed direction.
Hands-on experience using generative AI or automation tools to improve analytics, marketing or business workflows.

Nice To Haves

Experience with cloud-based data environments such as BigQuery, Snowflake or similar platforms.
Familiarity with Python, APIs, data pipelines or marketing platform integrations.
Exposure to advanced measurement or analytics approaches such as experimentation, incrementality, marketing mix modeling, attribution, segmentation or predictive analytics.
Familiarity with AI agents, Model Context Protocol (MCP), LLM-powered workflows or other approaches for connecting AI systems with data, tools and applications.

Responsibilities

Design and lead cross-channel measurement strategies tied to client business and marketing outcomes, including KPIs, data requirements and measurement approaches.
Serve as an analytics and technical consultant for clients and agency teams on analytics implementation, tracking, consent/CMP and cross-platform measurement.
Diagnose tracking, data quality and measurement challenges and recommend practical solutions.
Connect data across media, websites, CRM and other sources to uncover insights and translate them into clear business implications and actionable recommendations.
Develop and improve modern approaches to reporting and data delivery, including interactive reporting, data exploration, automated insights, alerts and AI-assisted analysis.
Identify and develop opportunities to expand Gatesman’s use of AI, automation and emerging technology across agency and client work.
Independently research, test and evaluate new technologies and approaches, including AI-powered tools, agents and automated workflows.
Turn successful experiments and custom solutions into repeatable tools, frameworks and processes that can scale across teams and clients.
Share learnings through documentation, training and enablement to help others confidently adopt new capabilities.
Identify opportunities to automate or rethink existing processes to improve the quality, speed and scalability of our work.
Explore, learn and test advanced analytical approaches such as marketing mix modeling, incrementality, experimentation, attribution, predictive analytics and segmentation.
Develop analyses that move beyond what happened to explain why it matters and what action should be taken.
Understand and communicate methodological limitations and appropriate levels of confidence in findings.
Turn successful approaches into repeatable frameworks and share learnings across the MI² team.
Serve as a trusted analytics and technical partner for assigned clients, independently leading analytics, measurement and innovation workstreams.
Proactively identify opportunities where data, technology, AI or new methodologies can create additional client value.
Contribute marketing intelligence and innovation thinking to new business opportunities, pitches, RFPs and strategic agency initiatives.
Provide guidance and mentorship to analysts while collaborating across disciplines to solve complex problems.
Contribute to agency learning through AI education, internal training and knowledge sharing.