Associate Director, Business Intelligence Architect

About the Role

Key Responsibilities

• Design, develop, and maintain scalable data models to support Tableau visualizations and advanced analytics initiatives and align with one source data hub initiative and strategy
• Collaborate with cross-functional teams to identify and implement predictive and prescriptive analytics solutions
• Ensure data integrity, quality, and consistency across all analytics processes and assets
• Lead initiatives with IT around data transformation toolsets, data(base/lake) platforms to support the management/build out of analytics data layer
• Quickly understand and analyze complex data sets to identify relationships and connections between data assets
• Collaborate with data engineering teams to optimize data pipelines and workflows
• Be a strategic partner to the data governance team around data strategy development and execution
• Collaborate with the data governance team to ensure data assets are properly structured and documented to align to data strategy
• Create intuitive and impactful visualizations using business intelligence and advanced analytics tools to communicate data insights effectively
• Support dashboards and report development and diagnose and resolve data issues in collaboration with DADS team
• Provide analytical support for strategic initiatives and ad-hoc requests, including data ingestion and modeling to connect components for insights
• Partner with data scientists and analysts to ensure methodological alignment and enhance departmental capabilities
• Act as a liaison between engineering/data enablement teams and business stakeholders to ensure goal alignment
• Clearly communicate technical concepts in business terms and vice versa
• Identify and implement AI use cases, including opportunities to combine data from BI environments to enhance decision-making
• Develop and document AI use cases to support advanced analytics that align with business objectives and provide measurable value

Requirements

• Hands-on experience with Databricks for data engineering and analytics workflows
• Proficiency in Tableau for data visualization and dashboard creation
• Experience with programming languages such as Python, R, and SQL
• Strong analytical and problem-solving skills with the ability to interpret complex data sets
• Excellent communication skills to translate technical insights into business value
• Knowledge of advanced analytics techniques, including machine learning, statistical modeling, and data mining/profiling
• Minimum of a Bachelor's Degree and 10+ years of relevant experience, or a Master's degree with 8+ years of relevant experience

Nice to Have

• Experience in the clinical trials or pharmaceutical industry
• Knowledge of data governance and data strategy development
• Experience with cloud data platforms and data lake architectures

Qualifications

• Bachelor's Degree with 10+ years of relevant experience or Master's Degree with 8+ years of relevant experience

Benefits & Perks

• Comprehensive benefits package including health and wellness programs
• Fitness centers, equity awards, annual bonuses, and paid time off
• Inclusive and diverse culture