Data Science Managers

Job Title

Senior Manager, Development Data Science & Reporting

Job Location

Armonk, NY

Job Overview

The Senior Manager, Data Architect for Global Development will be responsible for the strategic design, implementation, and maintenance of complex data architectures that support business goals, in addition to ensuring data is integrated, available, accurate, and secure. This individual will collaborate with cross-functional teams in designing and implementing user-centered digital solutions that are intuitive, scalable, engaging, effective, and align with discipline best practice. They will work closely with enterprise IT, Data Analytics and Data Science, functional leads, project managers, designers, developers, and other stakeholders to develop information architectures, taxonomies, navigation systems, and content strategies that meet both user needs and business goals. These strategies will empower data-driven decision-making across Global Development.

Compensation

Salary Range (annually): $126,600.00 - $206,600.00

Responsibilities

• Design and implement complex data architectures that support the organization's needs.
• Design, develop, implement, and robustly maintain data models, data dictionaries, and other documentation that cater to the GDs data needs, ensuring data accuracy, consistency, and security.
• Collaborate with enterprise IT, Data Analytics & Data Science, and stakeholders to formulate a comprehensive data strategy to ensure that data is integrated, available, accurate, secure, and aligns with the GD goals and future growth plans.
• Support the integration team to develop and implement data integration strategies and processes that ensure the seamless data flow and accessibility across the organization.
• Work with enterprise architect, solution architects, data engineers, and data analysts to ensure data quality and consistency across all systems and platforms.
• Matrixed reporting relationship with Enterprise Architect.
• In collaboration with GDS Architects, evaluate and recommend new technologies, tools, and processes to enhance data management capabilities.
• Collaborate with the data governance function to enforce policies, standards, and procedures to maintain data quality, security, and compliance with relevant regulations.
• Provide technical leadership and guidance to other team members on data architecture best practices and standards.

Requirements

• Minimum BS in a related discipline; MS or MBA is highly desirable.
• At least 8-10 years of relevant professional experience with 5 years of relevant experience within the pharma/biotech, a CRO, or consulting in the industry is required.
• Additionally, 5+ years of functional experience and leadership is highly desirable.
• Skilled at creating, updating, and maintaining conceptual, logical, and physical data models that meet business requirements and align with the organization's overall data strategy.
• Experience in the pharmaceutical industry in drug development is required.
• Knowledge of Data and Integration technologies and patterns.
• Strong knowledge of SDLC methodologies and CFR Part 11 compliance.
• Excellent communication skills to interact with ALL stakeholders.
• Good problem-solving & technical writing skills.
• Ability to effectively manage multiple priorities with a sense of urgency.
• Problem-solving, analytical, quality mindset, and strong business acumen.
• Attention to detail and accuracy of work.
• Familiarity with Architecture Frameworks/Processes (e.g. TOGAF).
• Knowledge of discipline standards including but not limited to FAIR principles, CDISC, SDTM, DAMA, Digital Data Flow.

We're excited for you to apply!