As Associate Director, Intelligence, you are the analytical engine behind that work turning raw data into the evidence that shapes what we build, what we sell, and how our clients succeed.
This is not a reporting role. You are in the data, finding patterns that drive direction: pulling CRM exports, auditing data ecosystems, sizing markets, and building the quantitative foundation for strategic and commercial decisions. Some deployments are commercially focused such as pipeline analysis, account research, and go-to-market inputs. Others are infrastructure-focused like mapping how data flows across Adobe’s partner ecosystem, identifying integration gaps, and setting up the analytical scaffolding for operating model design.
We are hiring multiple people into this role. Each will have a primary deployment, but the skills are transferable across engagement types. What is consistent: you work with real data to produce real findings that directly shape what the team does next.
WHAT YOU'LL DO
- Conduct deep-dive quantitative research on target accounts: financial performance, technology investments (with emphasis on Adobe stack adoption), market positioning, and growth signals
- Analyze pipeline data to identify conversion patterns, stall points, and whitespace across Adobe’s client and prospect portfolios
- Produce quantitative inputs for account prioritization: deal size estimates, market sizing, competitive threat assessment, and propensity-to-engage scoring
- Build and maintain structured account research databases that are clean, current, and accessible to strategists and engagement teams
- Support business consultants with the data behind their recommendations when they make the case for why a prospect should engage with an Adobe solution, you produce the evidence
- Audit data sources across client environments: CRM systems, Adobe partner portals, marketing platforms, deal registration systems, and field intelligence tools
- Map how data flows, where it’s captured, who owns it, how reliable it is, where it breaks down, and where silos prevent connected decision-making
- Assess data quality: completeness, accuracy, consistency, timeliness, and fitness for the analytical and operational purposes it needs to serve
- Produce data ecosystem maps and gap analyses that become the foundation for architecture and operating model recommendations
- Trace attribution and measurement paths: how pipeline, revenue, and Adobe partner influence are tracked today vs. how they need to be tracked
- Build financial models, market sizing analyses, competitive benchmarks, and scenario analyses that inform strategic recommendations
- Produce the quantitative sections of client deliverables: findings decks, assessment reports, business cases, and program reviews
- Design and build reporting frameworks: define what to measure, how to collect it, and how to present it so decision-makers can act on it
- Support measurement strategy development: define KPIs, establish baselines, and build the tracking methodology for ongoing Adobe partner programs
- Conduct primary data collection when needed: surveys, structured interviews, and field data gathering
- Build and maintain dashboards and reporting tools that make data accessible and actionable, pipeline trackers, program health scorecards, competitive positioning monitors, and performance dashboards
- Integrate data from multiple sources into unified views: CRM (Salesforce), social listening, media monitoring, Adobe partner platforms, and internal tracking systems
- Leverage CDP capabilities to connect and combine CRM and lead generation data with social and behavioral data to support Adobe solution campaigns
- Iterate on reporting based on stakeholder feedback; the first version is never the last version
WHAT YOU'LL NEED
- 5–7 years in data analysis, business intelligence, or analytics roles, ideally within management consulting, enterprise technology, SaaS, or professional services environments
- Demonstrated experience working with CRM data (Salesforce strongly preferred), marketing platforms, and partner ecosystem tools (Adobe partner portals, deal registration systems, Crossbeam)
- Track record of producing analysis that directly informed strategic or commercial decisions, not just reporting on what happened, but shaping what happened next
- Experience with data auditing, data quality assessment, or data ecosystem mapping is a strong differentiator
- Familiarity with the Adobe product ecosystem including Experience Cloud, CDP, and partner program infrastructure is highly valued
- Background in management consulting analytics teams (BCG, McKinsey, Bain, Deloitte, Accenture) or in-house analytics at enterprise technology companies is a plus
- Advanced proficiency in Excel/Google Sheets and SQL
- Experience with data visualization and dashboarding tools (Tableau, Looker, Power BI, or equivalent)
- Proficiency in Salesforce reporting and data extraction; familiarity with Salesforce data architecture is a plus
- Experience with site analytics, social analytics, and product categorization
- Comfort with statistical analysis and basic modeling: regression, segmentation, cohort analysis, forecasting
- Experience integrating and reconciling data from multiple platforms and sources, including CDP environments
- Deep familiarity with AI products and tools, with demonstrated ability to build more efficient analytical workflows using AI
- Clear communication skills. You can present a complex finding to a non-technical audience in a way that drives action, not confusion
ABOUT US
Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.
The base compensation range for this role is $100,000 – $150,000 and spans multiple levels. We're open to hiring at the level that best matches the right candidate's experience. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.
