Director, IT Data Management & Analytics
Anywhere, United States
Job Description
The Director of Data Management will be responsible for overseeing and advancing Alnylam’s data management strategy, data architecture, and implementation of data governance. This person will also work closely with business executives and stakeholders to identify, recommend, manage the implementation, support of analytics solutions to satisfy their information needs. And ensure that Alnylam’s data assets are accurate, consistent, secure, and accessible.
Key Responsibilities
- Define and execute the data strategy and roadmap for Alnylam, aligning with the company’s vision, mission, and goals.
- Develop and maintain the data architecture and data models that support Alnylam’s data needs across various domains, such as clinical, commercial, finance, and manufacturing, etc.
- Define, implement and enforce data governance policies, standards, and best practices to ensure data quality, integrity, security, and compliance.
- Collaborate with business stakeholders, IT, and external partners to understand data requirements, identify data solutions, and resolve data issues.
- Manage and oversee the design, development, testing, and deployment of data pipelines, data lakes, and data integration platforms.
- Manage and oversee the development, delivery of BI and analytics solutions, such as dashboards, reports, visualizations, and advanced analytics, to enable data-driven decision making and insights.
- Manage project teams of data engineers, analysts, and scientists, providing guidance and mentorship. Oversee vendors and service providers to select, implement analytics solutions, products or services that best meet Alnylam goals.
- Stay abreast of the latest trends, technologies, and best practices in data management, BI, and analytics, and evaluate and recommend new tools and solutions.
- Select and implement the appropriate tools, software, applications, and systems to support data technology goals.
- Stay current on regulations, compliance requirements, and leading practices related to data. Partner with information security, legal & compliance teams to ensure adherence with legal and regulatory requirements.
- Establish and monitor data management KPIs and metrics, and report on the progress and outcomes of data initiatives.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- Minimum of 10 years of experience in data management, BI, and analytics, with at least 5 years of experience in a leadership role.
- Proven track record of delivering complex and large-scale data projects.
- Experience in the pharmaceutical or biotechnology industry, with knowledge of finance, quality, manufacturing & operations data domains.
- Expertise in data architecture, data modeling, data governance, data quality, data security, and data integration.
- Experience in data platforms and tools, such as DataBricks, Snowflake, Power BI, etc.
- Experience in applying advanced analytics techniques, such as machine learning, AI, NLP, etc., to solve business problems.
- Excellent communication, presentation, and interpersonal skills, with the ability to communicate complex data concepts to technical and non-technical audiences.
- Strong analytical, problem-solving, and project management skills, with the ability to prioritize and manage multiple tasks and stakeholders.
- Passion for data and innovation, and a desire to make a positive impact on patients’ lives.
About Alnylam
Alnylam Pharmaceuticals (Nasdaq: ALNY) has led the translation of RNA interference (RNAi) into a whole new class of innovative medicines with the potential to transform the lives of people afflicted with rare and more prevalent diseases. Based on Nobel Prize-winning science, RNAi therapeutics represent a powerful, clinically validated approach to treating diseases at their genetic source by “interfering” with mRNA that cause or contribute to disease. Since our founding in 2002, Alnylam has led the RNAi Revolution and continues to turn scientific possibility into reality.
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Career Focus: Analyst, Biostatistics/Bioinformatics, Data Management/Data Science, Quality
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