Job Description


Job Description:
Responsibilities:
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

Position Requirements:
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

Education: Bachelors Degree

Application Instructions

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