Associate Director, Intelligence

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 (A