Manager Business Intelligence Architect

The Manager, Business Intelligence Architect will play a key supporting role in developing and implementing advanced analytics strategies across global development and driving data-driven decision-making processes at the portfolio, program and functional level by leveraging advanced analytics, data ingesting/cleansing/modeling, and visualization techniques. As the amount of data available continues to grow and cross-department alignment and dependency increase, this individual will be responsible for enhancing how we leverage our data to support creating, developing and delivering metrics and analytics related to the operational performance of running clinical trials along with developing use cases for Artificial Intelligence (AI) within Business Intelligence tools, supporting advanced analytics initiatives, and bridging the gap between technical and business perspectives. The ideal candidate will have expertise in Databricks and Tableau, with a proven ability to quickly understand complex data sets and identify meaningful connections between data assets. In addition, there will be significant hands-on coding involved in making this position successful.

A typical day in this role looks like:

Data Modeling and Analytics:

• 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
• Support initiatives with IT around data transformation toolsets, data(base/lake) platforms to support the management/build out of our analytics data layer

Data Asset Management:

• 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

Visualization and Reporting:

• Create intuitive and impactful visualizations using business intelligence and advanced analytics tools to communicate data insights effectively and efficiently
• Collaborate with DADS team to support dashboards and report development and timely diagnose and resolve data issues

Advanced Analytics Support:

• Provide analytical support for strategic initiatives and ad-hoc requests, including accelerated identification of respective data, ingestion and modeling to connect components to provide insights
• Partner with data scientists and analysts to ensure alignment on methodologies and outcomes and help bring enhanced capabilities to the department and organization

AI Integration and Use Case Development:

• Support identification and implementation of AI use cases, including identifying opportunities to combine with data from business intelligence environments to enhance decision-making capabilities and provide all inclusive data access to business users
• Support and document AI use cases to support advanced, proactive analytics that align with business objectives and provide measurable value.

Communication and Collaboration:

• Act as a liaison between engineering/data enablement teams and DADS team and business stakeholders, ensuring alignment on goals and deliverables
• Clearly communicate technical concepts in business terms and vice versa to ensure mutual understanding

This role may be for you if::

• Experience:Hands-on experience with Databricks for data engineering and analytics workflows.Proficiency in Tableau for data visualization and dashboard creation.Experience developing AI use cases and integrating AI into business tools.Experience with programming languages such as Python, R, or SQL
• Skills:Strong analytical and problem-solving skills with the ability to quickly understand and 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.Familiarity with cloud-based data platforms and tools.
• Attributes:Collaborative and team-oriented mindset.Ability to work in a fast-paced environment and manage multiple priorities effectively.Strong attention to detail and commitment to delivering high-quality work.

Preferred Qualifications:

• Knowledge of other Business Intelligence tools and platforms.
• Familiarity with data governance and compliance best practices.

In order to be considered qualified for this role, minimum of a Bachelor’s Degree and 5+ years in data analytics, business intelligence, or a related field.