Director - Data Management andAnalytics

The Director of Data Management and Analytics will lead the strategic planning, development, and implementation of data management and analytics initiatives to support the organization's goals

This role is responsible for ensuring the accuracy, completeness, and reliability of the company's data assets, as well as leveraging data analytics to provide actionable insights that drive business decisions

This role will work closely with the IT Business partners supporting Clinical operations, Clinical Administration, Human Resources, Finance & Accounting, as well as directly with other business functions to align data analytics and reporting processes and technology across the organization

Develop and maintain a comprehensive data management strategy that aligns with the organization's objectives

Oversee the design and implementation of data governance policies and procedures to ensure data integrity and compliance with relevant regulations

Support department data analytics functions in analyzing complex data sets to identify trends, patterns, and insights that inform business strategies

Collaborate with IT leadership and cross-functional teams to integrate data management and analytics into overall IT and business strategies

Manage the selection and implementation of data management and analytics tools and platforms to support effective data analysis and reporting

Partner closely with Business Stakeholders, IT Business Partners, and IT Operations to ensure proper configuration, maintenance, and ongoing support of any necessary core infrastructure (cloud or hosted) and associated services necessary for data management platforms

Manage vendor partnerships and service providers to ensure proper configuration, build, maintenance and ongoing support and maintenance of delivered tools and platforms

Establish and monitor key performance metrics to evaluate the effectiveness of data management and analytics initiatives

Provide guidance, training, and support to the data management and analytics team to foster a culture of continuous improvement and innovation

Engage/facilitate business process and data enablement discussions with stakeholders from clinical programs and administrative departments, etc

Oversee data architecture and implement/integrate D&A platforms, within the Clinics ecosystem, such as ERP & CRM (Salesforce); MDM (Master Data Management); Data warehousing and Reporting (Power BI, Tableau, etc.)

Architect and design data implementation patterns and engineered solutions using native cloud capabilities that span data ingestion & integration (ingress and egress), data storage (raw & cleansed), data prep & processing, master & reference data management, data virtualization & semantic layer, data consumption & visualization

Support department data warehouse instances and leads in creation of cloud data warehouse plans, roadmap, success metrics

Stay updated on the latest trends and advancements in data management and analytics

Contribute to the IT service catalog by defining and documenting IT services related to data management and analytics

Other duties as assigned

Bachelor’s Degree with a minimum of 10 years of experience in Life Science, Information Technology, Computer Science or a related field

At least 2 years of experience in a supervisory/leadership role

Proven experience in data management and analytics, preferably in a leadership role

Strong understanding of data governance, data quality, and data modeling principles

Expertise in data analytics tools and techniques, with the ability to translate complex data into actionable business insights

Excellent communication and collaboration skills, with the ability to engage effectively with stakeholders at all levels

Understand cloud data solutions in the context of business applications, cost optimization, business strategic needs and future growth goals as it relates to becoming a data driven’ organization

Understand and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - Azure (Fabric, Power BI), Azure Databricks, Snowflake, Tableau

Understand how advanced analytics solutions, AI/ML models, and operationalize based on ML Ops process are leveraged and delivered in the pharma/life sciences industry