Takeda · 1 day ago
Director, Data and Analytics
Boston, MA
Full-time
Onsite
Director/Executive
$174K/yr - $274K/yr
10+ years expTakeda is a leading global pharmaceutical company, and they are seeking a Director of Data and Analytics to lead a team responsible for complex data research and analysis. This role focuses on creating data mining architectures and statistical reporting to inform business decisions and drive impactful insights using advanced analytics and AI techniques.
BiotechnologyHealth CareManufacturingMedicalPharmaceutical
Responsibilities
Lead Plasma Dervied Therapies (PDT) Data Strategy, Advanced Analytics, and Insights function, ensuring that the application of advanced analytics, AI/ML including generative AI (GenAI, Agentic AI) drives business value through impactful insights and data-driven solutions
Oversee the complete lifecycle management of advanced analytics products, from ideation and development through to deployment and performance optimization advancing the organization capbility maturity by bringing analytics to the center of the business operations
Develop and execute strategies for transforming large volumes of data into actionable insights using cutting-edge AI techniques and quantitative methods to solve complex business problems
Guide teams to shape business strategy through innovative descriptive, predictive, prescriptive analytics and decision making solutions while ensuring cohesive, actionable insights that align with broader organizational objectives
Lead the PDT Data and Analytics team centered on providing actionable insight and aiding PDT SBU in business decision-making
Own all aspects of delivering analytics solutions for the business. This includes but not limited to descriptive/diagnostic/predictive/prescriptive analytics, and decision support solutions in order to influence and grow business intelligence practice
Utilize machine learning, AI including GenAI methodologies to uncover trends, predict outcomes, and optimize business processes
Build PDT data acquisition and business intelligence strategies supporting multiple operating models include self-service and full-service analytics
Obsess over our challenges and draw on creative thinking skills and collaborative nature to develop tangible data solutions with measurable business values. Regularly update the data strategy based on external insights, ensuring the organization remains competitive and innovative
Build strong relationships with key stakeholders across business units, ensuring that analytics projects align with business priorities and contribute to strategic goals
Collaborate with Data, Digital, and Technology (DDT), Privacy Office, and other related teams to ensure adherence to established analtyics solution standards, data security, and protocol algining with the Enterprise roadmap
Oversee and manage multiple parallel projects, risk identifications/mitigations, prioritization, and cost control
Oversee the end-to-end lifecycle of analytics products, ensuring they are developed, deployed, and optimized for ongoing business use
Manage systems integration, Data Pipelines, and Data Ops specific to business requirements (real-time and batch, push & pull) & related governance, security, integrity & consistency in order to support both Operational and Analytic use cases
Coordinate with team members in Analytics, Data Science, and Technology to indentify best practices and procedures for data usage and data demorcratization
Continuously monitor the performance and effectiveness of data science products and analytics models, implementing improvements as needed
Ensure that the quality of data, reports, analytics and dashboards are maintained to support critical business decision
Lead the exploration and integration of emerging technologies and methodologies in data science, including generative AI and other cutting-edge advancements
Act as a thought leader in the organization by championing data science and analytics initiatives and promoting the value of AI-driven insights in strategic decision-making
Stay abreast of developments in AI, machine learning, and advanced analytics, ensuring the organization is adopting the best tools and methodologies available
Partner with technology leaders to drive the development of advanced analytic products through rapid prototyping and iterative design, enhancing analytical capabilities and product offerings
Recruit, lead, mentor, and develop a high-performing global team of data scientists, analysts, and engineers, fostering a culture of innovation, collaboration, and continuous learning
Ensure that the team has the necessary tools, skills, and resources to succeed in delivering impactful analytics solutions
Foster a collaborative environment that encourages creative problem-solving and the sharing of best practices across the data science team
Qualification
Required
Minimum: Bachelor's degree in Computer Science, Data Science, Engineering, Information Technology, Mathematics, or a related field
Strong background in advanced analytics, data visualization and analytic solutions including dimensional data model, 10 years of experience
Experience in modern analytics tools, technologies, and frameworks including cloud-based platforms, AWS technologies, AI/ML frameworks, serverless computing, data lake, datamart, etc
Experience in data modeling, data architecture, and process optimization, with a focus on large-scale, complex data environments
Experience in AI-ready data preparation, data modeling for machine learning, and harmonizing data from multiple sources
Proven track record of leading data architecture and modeling initiatives, including the successful implementation of data processes and systems
Deep expertise in data modeling and data architecture
Strong background in AI and machine learning data preparation, including cleaning, transformation, and optimization
Demonstrate Business Intelligence thought leadership, new and innovative ways to use data
Passionate about new technologies and innovation and embrace changes
Good understanding of data governance, data management, and insight-generation principles
Working knowledge of cloud technologies (AWS, Azure, Google Cloud) and data platforms (data lakes, data warehouses)
Excellent communication, presentation, and leadership skills, with the ability to engage stakeholders at all levels of the organization
Ability to communicate complex technical concepts to non-technical business leaders. Excellent written and oral communication skills
Leadership and global team management skills with a focus on mentorship and talent development
Strong desire to learn and experiment with new concepts
Preferred
Master's degree in Data Science, Information Management, Engineering, Mathematics or a related field
Experience in the pharmaceutical, healthcare, or life sciences industries
Familiarity with regulatory frameworks and data privacy laws related to AI/ML applications (e.g., HIPAA, GDPR)
Knowledge of emerging AI technologies and trends in generative AI
Benefits
Medical, dental, vision insurance
401(k) plan and company match
Short-term and long-term disability coverage
Basic life insurance
Tuition reimbursement program
Paid volunteer time off
Company holidays
Well-being benefits
Up to 80 hours of sick time
Up to 120 hours of paid vacation
Company
Takeda
Takeda is a biopharmaceutical company that researches and develops pharmaceutical drugs.
10001+ employees
H1B Sponsorship
Takeda has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (39)
2023 (38)
2022 (34)
2021 (44)
2020 (18)
Funding
Current Stage
Public CompanyTotal Funding
$2.46B2025-06-27Post Ipo Debt· $2.4B
2016-09-01Grant· $19.8M
2016-05-08Grant· $38M
Leadership Team
Christophe Weber
President and CEO
Schuyler Fairfield
Senior Vice President, Global Head of Supply Chain
Recent News
2026-01-09
2026-01-08
Company data provided by crunchbase