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ML Platform and Data Engineering Lead - DAB

Company: Takeda Pharmaceuticals International GmbH
Location: Cambridge
Posted on: September 16, 2020

Job Description:

The health and safety of our employees and candidates is very important to us. Due to the current situation related to the Coronavirus (COVID-19), we’re leveraging our digital capabilities to ensure we can continue to recruit top talent at Takeda. As your application progresses, you may be asked to use one of our digital tools to help you through your recruitment journey. If so, one of our colleagues will explain how these tools will be used during the recruitment process. Thank you.

*Please be aware of an Identity Theft Scheme targeting individuals seeking jobs with Takeda and other employers. See below or here for more info.

ML Platform and Data Engineering Lead - DAB Takeda fosters a collaborative and stimulating work environment filled with opportunity and the chance to make a difference in people's lives. It is a workplace driven by integrity, one of Takeda’s long-held values that extends to both the patients we serve and our employees who develop and deliver medicines. Across our company, Takeda employees bring together diverse strengths that together create a stronger whole.

As one of the world’s leading biopharmaceutical companies, Takeda is committed to bringing Better Health and a Brighter future to people worldwide. We aspire to bring our leadership in translating science into life-changing medicines to the next level, in our core focus areas; oncology, gastroenterology, neuroscience, rare diseases, plasma-derived therapies, and vaccines. The Greater Boston Area is headquarters to many of our Global and US business units.

We are a passionate team doing important work that impacts patients’ lives. If you are driven to create better health and a brighter future, join us!

Success What makes a successful member of our team? Check out the traits we’re looking for and see if you have the right mix.

Life at Takeda A Global Top Employer Recognized for our culture and way of working, we’re one of only select companies to receive Top Global Employer ® status for 2020.

ML Platform and Data Engineering Lead - DAB Job ID R0022900 Date posted 09/10/2020 Location Cambridge, Massachusetts

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us in our Cambridge, MA office.

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Here, you will be a vital contributor to our inspiring, bold mission.

For the Takeda global scientific community who aspire to deliver transformative medicines to patients Scientific Informatics is the technology leader, with domain specific expertise, that provides innovative platforms and technologies to improve both operational efficiency and data-driven decision making. As an embedded partner Scientific Informatics is at the leading edge of both science and technology and proactively reacts to the changing scientific environment and needs of researchers in an agile fashion to deliver timely, value-adding solutions.

The Digital Advisory Board programs aim to ensure our growing data is easily accessible to everyone so we can help our patients and HCPs faster and more effectively.

Enterprise Data Backbone - The Enterprise Data Backbone provides the most user-friendly real-time data for all our internal and external stakeholders, accessible through self-service tools.

We will transform the way we gather and use insights by integrating completely new types of data to better support our patient and others in the healthcare system. We will build capabilities to gather real world data outside of clinical trials in ways we have not been able to do so far.

We will make data more easily accessible across Takeda and find a way to share it so that we don’t keep re-inventing the wheel. We will push ourselves to think beyond our normal constructs of clinical trials or today's supply chains.

We will explore a future where we get data from all corners of the world – digital communities, wearable devices, social media, surveys, for a, consumer data combined with hospital, pharmacy and EMR data. We will unlock innovation across the development life cycle supporting accelerated clinical development, reducing clinical trial costs, etc.


The Head of ML Platform and Data Engineering is the backbone of the data program at Takeda and will oversee and drive the strategic innovation and design of data, consisting of data engineering, data science and AI within Takeda and with a strong impact on the IT Organization. Is a seasoned leader in technical, innovative, transformational aligned strategy and will participate in and influence leaderships debates and teams around the organization on the effect and effectiveness of data program whilst articulating the impact on IT.

Drive and lead the overall transformative data strategy combining existing sub-function strategies to accelerate the enterprise effectiveness, focused on data engineering, data science and AI solutions and drive the change within the IT organization, all focused on how data can shape the future of Takeda and the technical pathway to do so.

Shape and lead the design do data productized, re-usable and scalable solutions within Takeda into a technical portfolio and drive the further development of IT as a change enabler; guide and orchestrated an aligned IT approach and implementation from Cloud, Architecture, Service Delivery to other IT functions.

Proactively aligns with the business, from R&D, PDT, Manufacturing, Commercial, Corporate functions to understand current and future data opportunities and collaborates with business and IT leaders to identify, design, plan and prioritize a data strategy, roadmap and technical product portfolio on data engineering and science to solve identifies issues.

Drive, lead and prioritize the technical data program agenda for the business within the whole of Takeda and IT. Lead the identification of large business opportunities and orchestrate technical IT plans end efforts to completion on time and repeatable business solutions.

Oversee the development of scalable IT solutions, time to market and data innovation through terms of service strategy, data architecture and service delivery.

Lead the development of data skill set and aligned competencies within Takeda to ensure the organization is ready for the next data era and new experts can support the implementation of repeatable data engineering, science and AI-solutions.


Drive and lead the design a multi-year data strategy to create new data products and drive measurable competitive advantage for Takeda. Determine the investments necessary in terms of people and technology to achieve these objectives

Explore data engineering, data science and AI developments and translate these to the data strategy to keep Takeda on the cutting edge of data optimization.

Orchestrate all data efforts within IT and the business and align the business to the IT agenda aligned with new capabilities and methods.

Lead the design of a data engineering, data science and AI organization around data domain expertise and data science specializations to drive the effective leverage of methodologies, tools, and talent on business problems

Promote identification of new internal and external data sources; approve selection and integration

Explore the ecosystem (internal, external) and inject new insights for data into IT and the business and use specific designed used cases and lead the sharing of research findings broadly within Takeda.

Drive and articulate the broader need of data engineering and data science and aligned re-usable and scalable tooling for implementations; deploy world-class data and AI capabilities

Lead the design of performance determinations and requirements for data programs and project and act as the business owner on data engineering, science and AI.

Partner within Takeda and IT to orchestrate and align the data agenda to drive data program standardizations, data adoption and effective data implementations.

Advise business leadership team on data and AI opportunities to utilize and to collaborate, thus shaping Takeda’s data story and collaborate with business leaders develop a consolidated data portfolio and projects aligned with overall IT and Takeda strategic roadmaps and with a strong focus on scaling up projects.

Build and manage a strong network internally and externally with strategic and data experts and data technology partners with strong cloud, digital, architecture AI, cyber security and analytics capabilities.

Explore and utilize strategic partnerships, evaluate business opportunities and elevate used cases to drive data drive business changes and optimization

Oversee the different re-usable and scalable data model functions design for different scope and organization complexity and identify and address issues through model and implementation drift.

In consolidating the data program, data portfolio of data projects continuously to evolve the data agenda and implementations for Takeda towards a top industry data standard. Own the lifecycle of data engineering and data science services required by various business organizations across Takeda

Manage spend and value targets for data program implementations and track the monthly performance and report progress.

Lead the development of a Data Enablement team to drive delivery, implementation and adoption of data engineering, science and AI solutions

Ensure effective and overall data strategy in collaboration and alignment with business and IT leaders

Oversee model data delivery with a sense of business urgency utilizing a product management mentality; identifying and delivering capabilities that can be built once, but deployed in markets/scenarios

Lead the identification of synergies across the data implementations across Takeda and develop appropriate capabilities to reduce cost

Lead the standardization and codification of AI&D approaches and methods for developing and maintaining algorithms codified

Approve new policies and standards, and promote their maintenance, dissemination, and utilization across the organization

Stimulate and promotes new data and AI capabilities to upskill the current workforce of experts and implementation specialist in close collaboration with our IT leadership.

Support recruitment and onboard top talent within or to Takeda to build pool of practitioners


Technical/Functional (Line) Expertise

Broad technology skills in data, AI/ML and ability to translate knowledge into solutions which transform the customer’s experience.

Experience socializing and serving as a liaison between the EDPP and business partners to demonstrate the value proposition of the service delivery framework to leadership

Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change)

Experience of designing, and evaluating organizational transformations and delivering large scale change that adds value from data and information

Proven experience of providing strategic and technical leadership to large complex organizations

Knowledge of the contemporary digital landscape of organizations and experience of bringing leading technology and process optimization practices to an organization to drive sustainable improvements in business performance

Experience leading agile teams leveraging scrum methodology

Decision-making and Autonomy

Proven track record of driving change in processes and organizations, while maintaining working relationships with key business customers.

Versed in Risk management possessing ability to identify, analyze, track, manage and resolve risks issues that impact project


Demonstrated success in the areas of IT Business Partnership & Relationship Management, Value Realization, IT Vendor Management/Governance

IT Project/Program Management, IT Service Management

Collaborating and Influencing

Negotiates with a genuine give-and-take approach, where both act as true peers and decisions are shared.

Spends time identifying all stakeholders necessary and meets or connects with all of them, neglecting no one to shape a collective consensus.

Identifies opportunities to build relationships that will help others achieve their objectives and reaches out to those people or new people.

Leading People

Collaborates and openly debates with the team to manage projects, solve problems, discuss challenging

issues, or learn more about critical issues as a group.

Delegates roles thoughtfully to free self to work at a more strategic level.

Collaborates with each employee to establish clear, challenging performance goals and metrics for the year.

Designs a performance management process to monitor projects and deliver results that exceed expectations.

Periodically reviews team progress against plans, focuses attention beyond the project to the full year

Leverage digital technologies to drive business results

Captures voice of the customer and provides operating model which optimizes and socializes service delivery


Leads, transforms and deliver functions – finance, resourcing, operations , training, change management etc.

Able to operate in an environment of ambiguity and uncertainty, while continuing to advance goals and objectives based on available information.

Acts to surpass goals, seizing opportunities to push the envelope.

Sets continually higher goals that are ambitious but realistic for self and team, geared to overall organizational objectives.

Focuses on new business opportunities that enable business development targets to be exceeded.

This leader’s primary objective is to unify a talented team of data and data scientists and engineers and focus their efforts on the delivery of productized AI use cases prioritized by critical business needs and the creation of enterprise value. This will be measured by improved business focus, exponentially increased output and specialization, and the creation of natural business demand for shared data and AI capabilities.

Creation of a customer-focused, central hub and service organization for all data science activities, enabling Takeda to leverage its scale and reach.

Establish the cultural footprint for a team that must play a growing and sustainable role in the continued success of Takeda.

Develop and communicate the data science strategy for Takeda, including a vision for tools, processes and technology, self-service capabilities, the productization of analytical tools and services.

Established a functioning environment that allows various Takeda users to embed data and data science capabilities


Bachelor’s Degree in computer science, mathematics or engineering is required;, graduate degree in relevant field is desired.

10+ years of data and analytics leadership experience

Technical experience across a variety of analytics functions and capacities

Experience with advanced data techniques including advanced qualitative and quantitative data mining, complex predictive modeling and other real-time pattern detection methods. In-depth exposure to machine learning, algorithms, statistics, visualization, data engineering, natural language processing, data platforms and engineering.

Experience working in globally matrixed organizations

Team leadership of more than 50 employees

A demonstrated ability to unify and lead teams within a matrixed organization.

Standardization of disparate approaches to Data and AI/Data Science

Established partnerships with top academic institutions or industry/domain leaders

Previous healthcare / life science / pharmaceutical industry experience preferred

Reference-able leadership, management, or key influencer experiences required

Previous experience managing large programs and budgets preferred

Ability to think outside the box for creative strategies

Tenacity, perseverance, and courage

Experienced within Agile methods and leading Scrum teams

Check out where you could be

working if you apply.

Job Seekers: Protect yourself against identity theft Please be aware there are instances of identity thieves posting Takeda-branded jobs and posing as employees to steal personal information. They visit job-related websites and invite candidates to online chats. During the chat, they press job seekers to provide bank account information and Social Security numbers.

Copyright 1995-2019 Takeda Pharmaceutical Company Limited. All rights reserved.

Keywords: Takeda Pharmaceuticals International GmbH, Cambridge , ML Platform and Data Engineering Lead - DAB, Other , Cambridge, Massachusetts

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