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Head of Data Science and Advanced AI

Employer
Takeda
Location
Boston, Massachusetts
Start date
May 19, 2023

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Job Details

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Job Description

Head of Data Science and Advanced Analytics

The role of Head of Data Science and Advanced Analytics (Data Science as a Service) is a core position as part of the Enterprise Data Services (EDS) team responsible for working across our BU/BF partners to deliver best in class data science capabilities as the preferred innovation competency center experts. Our story is one of transformation, leveraging our data assets with purpose to make the lives of our patients, HCP and employees more innovative and actionable. As the Senior Director of Data Science & Analytics, you will play a key role in building a core team and developing advanced capabilities that unlock our company vision to transform digital experiences thru data science techniques reporting directly to the CDO. You will be responsible for advancing data science & advanced analytics capabilities including defining the right organization, tools & technology, processes, and governance needed to meet the needs of our business partners as a federated model. This exciting new role is responsible for working across Takeda on the strategy, use case exploration, and deployment of AI driven offerings as a Service.

Responsibilities include:

  • Design, own, and implement Takeda’s EDS data science strategy in line with the overall business objectives with extensive experience developing and deploying ML/AI enabled products services at scale with significant experience in deep learning.
  • Build and direct a high-performing data science team, providing leadership, guidance, and mentorship to team members. Leverage ICC and Strategic resource model in Bratislava, Mexico City, India, Toronto and remote for niche skills.
  • Review architecture and design to deploy predictive models and algorithms that support business decisions. Results driven with a proven track record as a computational leader in the pharma/biotech industry.
  • Establish and maintain relationships with key stakeholders/data science citizens across the organization to ensure data science initiatives align with business goals, ROI and successful deployment of algorithms/data products.
  • Lead the development of advanced analytical capabilities with the ambition of creating long-term strategic data/analytics assets for the company. Build tools and solutions to measure model performance over time.
  • Provide data governance on data science work (sandbox testing, artifacts to ensure the “right way to perform”) ensuring accuracy, security, and AI/ML ops execution excellence.
  • Grow and lead a world-class team of skilled bioinformatic and computational data scientists and engineers focused on the successful deployment of analytics use cases that driven actionable insight on our big data platform.
  • Build out an Advanced analytics community of practice with the charter of knowledge sharing, improving adoption and
  • Influence architecture governance, including Architecture Review Board (ARB) and Architecture Innovation Committee (AIC).
  • Manage a portfolio of use cases and implementation of Data Science capabilities by providing transparency of projects, registered algorithms (deployed) and innovation lab exploration.
  • Collaborate with the EDS practice leads to ensure alignment key data science dependencies such as Data Quality, Engineering, Acquisition and Platform as a Service that enables and elevates AI.
  • Responsible for leading the development and deployment of cutting-edge machine learning models, data science tools, & advanced analytics, including incrementality testing & customer analytics, aimed at driving client value across multiple business verticals
  • Foster collaborative innovation with key strategic partners in the bio-pharma sector that will be in a support role for key projects and capacity demand.

Qualifications:

  • Master's or Ph.D. degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Expertise in Big Data Platform Architecture and enterprise data capabilities.
  • Bachelor’s degree in a relevant field; or relevant work experience.
  • At least 10 years of experience in data science, with a proven track record of success in leading and managing a large cross functional team.
  • Strong knowledge of Data Science such as Business Intelligence, Artifical Intelligence, Machine Learning, Advanced Analytics, Big Data, Data Management and Data Governance.
  • Demonstrated leadership and project management skills in deploying, leading and implementing successful projects.
  • Strong leadership skills, with the ability to inspire and motivate a team to achieve ambitious goals.
  • Expertise in architecting ,designing and deploying predictive models and algorithms in real-world business environments.
  • Strong experience in AWS Data Services (Redshift, ElasticSearch, S3, API Gateway, Lambda, Globalscape) and third-party tools such as Informatica, Collibra, Mulesoft, Databricks, PowerBI, Tableau.
  • Strong technical and indepth knowledge of data mining, machine learning, statistical modeling, and programming languages such as Python or R.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present complex data-driven insights to non-technical stakeholders.
  • Excellent stakeholder management skills.
  • Ability to adjust priorities quickly as circumstances dictate.
  • Experience in data models and data architectures; able to develop logical and physical data models and understand slowly changing dimension patterns.
  • In-depth business acumen and pharmaceutical or life sciences industries functional/technical knowledge; flexible analytic approach and be proficient in one or more scripting languages, for example, Python or R.
  • Familiarity with information management practices, regulatory requirements, and data privacy laws, especially those that uniquely effect the pharmaceutical industry.
  • Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, relational and non-relational data bases systems such as SQL, Redshift, PostgreSQL, or Vertica. Familiar with modern machine learning techniques for classification and regression as well as knowledge of A/B testing, experimental design, and general statistical modeling.
  • Ability to define and communicate compelling, business-enabling technology vision and the business value of this vision, along with actionable roadmaps to achieve target state architecture across people, process, and technology dimensions.
  • Demonstrated proficiency in leading a data science department in the development of new insights, advanced modeling techniques, and data science capabilities.
  • Initiate data science programs across the company not only with a view of improving departmental performance but also with a focus on revenue growth and achievement of the business’ overall targets and objectives.
  • Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department.
  • Exposure to agile ways of working, such as Scrum / SAFe and DevOps methodologies.

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

CAN - Toronto Head Office, CHE - Glattpark (Opfikon) - Zurich HQ

Worker Type

Employee

Worker Sub-Type

Fixed Term (Fixed Term)

Time Type

Full time

Company

Takeda is a global, values-based, R&D-driven biopharmaceutical leader headquartered in Japan, committed to discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet. Takeda focuses its R&D efforts on four therapeutic areas: Oncology, Rare Genetics and Hematology, Neuroscience, and Gastroenterology (GI). We also make targeted R&D investments in Plasma-Derived Therapies and Vaccines. We are focusing on developing highly innovative medicines that contribute to making a difference in people’s lives by advancing the frontier of new treatment options and leveraging our enhanced collaborative R&D engine and capabilities to create a robust, modality-diverse pipeline. Our employees are committed to improving quality of life for patients and to working with our partners in health care in approximately 80 countries and regions.

For more information, visit https://www.takeda.com.

Stock Symbol: TAK

Company info
Website
Location
650 East Kendall Street
Cambridge
MA
02421
United States

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