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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
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
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
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
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
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
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
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
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
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
DIMENSIONS AND ASPECTS
Technical/Functional (Line) Expertise
Broad technology skills in data, AI/ML and ability to translate
knowledge into solutions which transform the customer’s
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
Versed in Risk management possessing ability to identify,
analyze, track, manage and resolve risks issues that impact
Demonstrated success in the areas of IT Business Partnership &
Relationship Management, Value Realization, IT Vendor
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
Identifies opportunities to build relationships that will help
others achieve their objectives and reaches out to those people or
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
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
Acts to surpass goals, seizing opportunities to push the
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
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
Established a functioning environment that allows various Takeda
users to embed data and data science capabilities
EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS:
Bachelor’s Degree in computer science, mathematics or
engineering is required;, graduate degree in relevant field is
10+ years of data and analytics leadership experience
Technical experience across a variety of analytics functions and
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
Standardization of disparate approaches to Data and AI/Data
Established partnerships with top academic institutions or
Previous healthcare / life science / pharmaceutical industry
Reference-able leadership, management, or key influencer
Previous experience managing large programs and budgets
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.
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