Director, Data and Analytics
Company: Takeda
Location: Boston
Posted on: January 10, 2026
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Job Description:
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with Takeda’s Privacy Notice and Terms of Use . I further attest
that all information I submit in my employment application is true
to the best of my knowledge. Job Description Job Position Title:
Lead for Data & Analytics About the role: The Director Digital
Insights and Analytics is responsible for leading a team that
performs complex data research and analysis to support business
operations. This role involves creating data mining architectures,
statistical reporting, and data analysis methodologies to identify
trends in large data sets. By applying knowledge of existing and
emerging data science principles, this role informs business
decisions and contributes to Takeda's mission. OBJECTIVES/PURPOSE
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.
ACCOUNTABILITIES :- Insight Generation and Analytics 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. Data
Strategy and Stakeholder Collaboration 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.
Product and Analytic Method Lifye Cycle Management 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 Innovation and Thought Leadership 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. Team Leadership and
Development 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.
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: Minimum: Bachelor’s
degree in Computer Science, Data Science, Engineering, Information
Technology, Mathematics, or a related field. Preferred: Master’s
degree in Data Science, Information Management, Engineering,
Mathematics or a related field. Experience: 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 techologies, 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. Skills:
Essential: 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. Desired – 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. ADDITIONAL
INFORMATION Travel Requirements – 25% Takeda Compensation and
Benefits Summary We understand compensation is an important factor
as you consider the next step in your career. We are committed to
equitable pay for all employees, and we strive to be more
transparent with our pay practices. For Location: Boston, MA U.S.
Base Salary Range: $174,500.00 - $274,230.00 The estimated salary
range reflects an anticipated range for this position. The actual
base salary offered may depend on a variety of factors, including
the qualifications of the individual applicant for the position,
years of relevant experience, specific and unique skills, level of
education attained, certifications or other professional licenses
held, and the location in which the applicant lives and/or from
which they will be performing the job. The actual base salary
offered will be in accordance with state or local minimum wage
requirements for the job location. U.S. based employees may be
eligible for short-term and/ or long-term incentives. U.S. based
employees may be eligible to participate in medical, dental, vision
insurance, a 401(k) plan and company match, short-term and
long-term disability coverage, basic life insurance, a tuition
reimbursement program, paid volunteer time off, company holidays,
and well-being benefits, among others. U.S. based employees are
also eligible to receive, per calendar year, up to 80 hours of sick
time, and new hires are eligible to accrue up to 120 hours of paid
vacation. EEO Statement Takeda is proud in its commitment to
creating a diverse workforce and providing equal employment
opportunities to all employees and applicants for employment
without regard to race, color, religion, sex, sexual orientation,
gender identity, gender expression, parental status, national
origin, age, disability, citizenship status, genetic information or
characteristics, marital status, status as a Vietnam era veteran,
special disabled veteran, or other protected veteran in accordance
with applicable federal, state and local laws, and any other
characteristic protected by law. Locations Boston, MA Worker Type
Employee Worker Sub-Type Regular Time Type Full time Job Exempt Yes
It is unlawful in Massachusetts to require or administer a lie
detector test as a condition of employment or continued employment.
An employer who violates this law shall be subject to criminal
penalties and civil liability.
Keywords: Takeda, Hartford , Director, Data and Analytics, IT / Software / Systems , Boston, Connecticut