Senior Director, Business Analytics

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About the Role:

Wiley Research is in the midst of a consequential transformation — recasting itself from a legacy publishing operation into a data-intelligent, market-responsive research enterprise. That transformation depends on an analytics capability that currently exists in pieces: We require a rigorous, connected capability that synthesizes data from across the business, surfaces competitive and operational insights, and gives Research leadership the clarity to act with speed and conviction.

The Senior Director, Business Analytics is accountable for building and leading that capability. This is a senior leadership role at the intersection of strategy, data, and performance. This person will define the Research analytics agenda — drawing on existing staff expertise, internal data systems, and external intelligence sources — and translate that agenda into the insights that inform strategy, drive investment decisions, sharpen our competitive positioning, and improve performance outcomes.

This role has a particular focus on commercial analytics — the measurement and interpretation of revenue performance, renewal health, customer retention, and market penetration that tells Research leadership where the business is winning, where it is losing, and where to invest next. The Senior Director is expected to function as a trusted commercial analytics advisor to the Research EVP and leadership team, translating commercial data into clear strategic recommendations and ensuring that commercial performance is measured consistently and confidently across all geographies, segments, and product lines.

The Senior Director works in close partnership with the Senior Director, Business Analytics & Operations, who leads the consolidation and operationalization of data from Wiley's internal and external reporting systems. While the Senior Director, Business Analytics & Operations focuses on data infrastructure and reporting integrity, this role focuses upstream — defining the analytical and commercial agenda, asking the right strategic questions, and ensuring that insights flow into decisions at the right moment. This division of labor is intentional and complementary.

Wiley Research operates in a highly matrixed environment where data ownership is distributed across multiple functions, teams, and systems. A central challenge of this role is bringing coherence to that landscape: establishing governance, building trust with data-generating teams, and creating a consolidated, commercially reliable view of Research performance that does not currently exist. The right candidate brings both analytical rigor and organizational acuity — the ability to navigate complex stakeholder environments, build influence across functions, and make the case for disciplined data practices in a culture that has historically operated without them.

Key Responsibilities

1. Analytics Strategy & Commercial Leadership

• •Define and own the analytics strategy for the Wiley Research business — setting priorities, building the capability roadmap, and ensuring the analytics agenda aligns with and anticipates the strategic priorities of the EVP and GM, Research.
• •Deliver advanced commercial analysis to provide the foundation for strategic decision-making. Identify growth opportunities, retention risks, and areas of underperformance before they surface in results.
• •Establish the Research analytics function as a credible, trusted center of insight — recruiting, developing, or activating existing staff talent to build analytical capacity across the organization.
• •Lead the development of a competitive intelligence and market analysis function for the Research business, synthesizing external data (including third-party sources), industry trends, and internal commercial performance data into actionable strategic insight.
• •Translate complex analytical findings into clear, concise narratives for senior audiences — the EVP, Research Leadership Team, and board-level stakeholders — ensuring insights drive decisions rather than accumulate in reports.

2. Analytics & Performance Measurement

• •Evolve the KPI framework — defining and standardizing metrics that will serve as the definitive measurement standard for the Research business.
• •Develop and maintain executive dashboards and performance reporting across regions, teams, products, and customer segments — giving Research leadership a real-time, integrated view of commercial health that supports fast, evidence-based decisions.
• •Deliver advanced analysis to identify growth opportunities, diagnose performance drivers, and provide the quantitative foundation for commercial strategy — including scenario modelling and competitive benchmarking.
• •Drive adoption of data-driven commercial decision making throughout Research — translating complex data into clear, actionable business recommendations that influence how leaders invest, prioritize, and respond to market conditions.
• •Ensure reporting is globally aligned, with consistent definitions, metrics, and performance measurement standards applied across all markets, organizational units, and product lines — from working teams to C-suite.

3. Data Governance & Reporting Integrity

• •Collaborate with stakeholder teams to drive commercial data governance — including data quality standards, reporting integrity, and management of Research's commercial single source of truth — ensuring that leadership can trust the numbers and that analytical output is reliable, consistent, and audit-ready.
• •Take ownership of the broader Research analytics data governance agenda: identifying fragmented or duplicated data sources, establishing data ownership standards, and working across Research and enterprise functions to close gaps that currently undermine analytical confidence.
• •Partner with the Senior Director, Business Analytics & Operations; the Business Analytics & Enablement team, and Technology & Operations to ensure the data infrastructure required for Research analytics is fit for purpose — influencing roadmap decisions and advocating for data engineering resources where gaps exist.
• •Drive efficiency and automation in core reporting workflows, building toward a self-service reporting model that scales across the Research organization.

4. Stakeholder Partnership & Trusted Advisory

• •Partner with Finance to align revenue reporting, forecasting methodologies, and business performance measurement — ensuring that the analytical and financial views of commercial performance are consistent, mutually reinforcing, and trusted by leadership.
• •Collaborate with Publishing, Marketing, Sales, Product, and Strategy teams to surface cross-functional commercial insights that neither function could generate alone — building the analytical connective tissue that supports integrated, enterprise-wide commercial decision-making.
• •Serve as a trusted advisor to Research and Executive Leadership on commercial performance trends, strategic opportunities, and operational risks — providing the analytical perspective leadership needs to make consequential decisions with confidence.
• •Build productive, trusted partnerships with data-generating teams across Research (Publishing Development, Partner Publishing, Publishing Operations, AI & Data Analytics, Finance, and others) to access, validate, and leverage data that is currently siloed or inconsistently owned.
• •Operate as a visible, constructive presence in Research leadership forums — representing the analytics perspective and ensuring analytical rigor is embedded in strategic discussi