Head of Business Intelligence and Platforms Manager

Merck•Burlington, MA

5d•Hybrid

About The Position

In this pivotal role, you will lead the strategy and execution of business intelligence and platform management for a global Life Science Business Development organization. You will own and optimize the core platforms that power business and corporate development activities, while translating complex data into actionable insights that drive high-impact decisions. As a key connector across Business Development, Legal, Finance, IT, Product Management, and AI and Data & Analytics teams, you will shape how the organization leverages technology and intelligence to identify, evaluate, and accelerate growth opportunities.

Requirements

Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, Software Engineering, Life Science, or a related field with 5+ years of relevant experience.
Demonstrated track record of owning and optimizing enterprise platforms in a complex, matrixed organization.
Strong business analytics skills across data extraction, analysis, dashboard development, KPI reporting, and insight generation.
Hands-on experience with enterprise tools including Foundry, SFDC, ERP systems (SAP, Oracle), SQL, Power BI, Tableau, Python, Snowflake, data lakes, royalty management platforms, and contract management systems.
Skilled at interpreting complex datasets, identifying business implications, and delivering concise, insight-driven recommendations that inform strategic decision-making.
Experience using AI-enabled tools or automation to improve analytics, identify patterns, or streamline reporting workflows.
Strong stakeholder management and communication skills.
Proven ability to partner across functions and drive execution in a matrixed organization.

Nice To Haves

MBA or Master's degree in Business, Information Systems, Data Analytics, Computer Science, Software Engineering, Life Science, or a related field with 3+ years of relevant experience.
Ability to work across multiple data sources, validate data quality, reconcile discrepancies, and document reporting logic and metric definitions.
Familiarity with complex licensing deal structures, royalty obligations, and downstream financial reporting requirements.
Advanced proficiency in tools such as JIRA, Confluence, SharePoint, Smartsheet, and similar platform and collaboration tools.
Experience applying AI, machine learning, NLP, or generative AI to analytics, reporting automation, anomaly detection, forecasting, or knowledge management use cases.
Experience in regulated or highly governed business environments with strong data integrity and governance practices.
Experience with LEAN, process improvement, automation, or digital transformation.
Skilled at building and presenting clear, insight-driven materials for business stakeholders and leadership.

Responsibilities

Manage the royalty management platform and related business platforms, maintaining governance, documentation, user access, training, and continuous improvement.
Maintain a platform enhancement backlog that balances user needs, compliance requirements, and operational risk.
Develop and maintain reports, dashboards, and operational scorecards for royalty management, deal flow visibility, contract compliance, and leadership decision-making.
Analyze data across Foundry, SFDC, ERP systems, royalty platforms, contract systems, finance systems, and data lakes.
Identify trends, risks, data quality issues, and process improvement opportunities.
Deliver actionable insights — not just reports. Explain drivers, root causes, and risks, and recommend practical actions to improve business outcomes.
Build reusable analytics assets, standardized reporting definitions, and self-service reporting approaches to reduce manual effort and improve decision-making consistency.
Apply approved AI and automation tools to streamline reporting, identify anomalies, summarize data, and accelerate insight generation.
Identify and support responsible adoption of AI use cases across platform and analytics workflows.
Develop and monitor KPIs for platform performance, royalty operations, data quality, and process effectiveness.
Perform root cause analysis for incidents and reporting issues and recommend improvements.