Overview

Objectives and Purpose

Responsibilities

• Develop customer-centric solutions with recommended data model and business intelligence (BI) technologies.
• Create repeatable, interpretable, dynamic, and scalable statistical models that are seamlessly incorporated into analytic data products, ability to discover correlations between variables and generate predictions/forecasts of data-driven decisions.
• Extract, transform, and load data from one data source (e.g., Databricks) into a single, consistent data source for data modelling and workflow orchestration purposes (i.e., representations of data flows and relationships).
• Advocate and educate on the value of data-driven decision making with focus on “how and why” of solving problems.
• Oversee forecasting models that process and analyze large quantities of data to identify key trends and business insights.
• Review and refine data visualizations that are detailed, clear, multi-faceted, and user-focused to effectively communicate data insights throughout a narrative.
• Collaborate with business partners to identify analytical improvement opportunities based on defined pain points, problem statements, scope, and analytics business case.
• Strategize with IT Development Teams to develop a standard process to collect, ingest, and deliver data along with proper data models.
• Lead team members in defining business requirements, facilitating workshops and/or prototyping sessions focused on enhancing analytics product functionality.
• Collaborate with internal and external partners to develop analytics that advance end-to-end Data Science solutions and practices.
• Coordinate with DevOps, Database Teams to ensure proper design of system databases and integration with enterprise applications.
• Design data visualization solutions, with Enterprise Data and Analytics Team, that synthesize complex data for data mining, discovery.
• Experience and understanding of current and emerging data, digital, and IT technologies (i.e., generative AI), as well as analytics processes and service models.
• Proficiency in Data Analysis and Visualization, analyzing and interpreting large datasets using AI and machine learning techniques.
• Understanding of AI concepts, algorithms, and machine learning models and the ability to apply AI technologies to solve business problems.
• Ability to leverage generative models to create synthetic data, simulate scenarios, or analyze outputs into actionable insights.
• Ability to identify actionable insights from data and provide recommendations.
• Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is a plus, but we also value perspective gained from other sectors.
• Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization.
• Advocate of a culture of collaboration and psychological safety.
• Decision-making and Autonomy
• Play a lead role in decision-making processes by providing data-driven insights and solutions.
• Shift from manual decision-making to data-driven, strategic decision-making.
• Proven track record of applying critical thinking to resolve issues and overcome obstacles.
• Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner.
• Lead analytical approaches, integrating work into applications and tools with data engineers, business leads, analysts, and developers.
• Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver technical solutions that meet Takeda technology standards and security measures.
• Ability to work alongside intelligent machines and humanize data and insights.
• Passion for teaming, coaching, and learning with a growing team of Data Scientists.
• Passion for re-imagining new solutions, processes, and end-user experience by leveraging advanced technologies (i.e., generative AI/ML), effective statistical models, and enterprise analytics platforms and tooling to support BI solutions and drive business results