Head, Advanced Analytic Services (Director)

ACCOUNTABILITIES:

• Lead and manage teams responsible for deliveringadvancedtechnology services globally.

• Drive the development and implementation of cutting-edgetechnologies, includingbutnot limited to cloud computing, artificial intelligence, machine learning, and big data analytics.

• Collaborate with cross-functional teams to ensure the successful deployment of automatedinfrastructure and software solutions.

• Ensure the quality and security of deployments, includingproper key management, encryption, and detection.

• Manage and collaborate with third-party operations teams to deliver high-quality services.

• Ensure the steady operation of advancedtechnology capabilities globally.

• Serve as the lead for implementing and deployingartifacts for advancedtechnology products.

• Work independently and collaboratively to solve complextechnologyproblems.

• Automate tasks for software and infrastructure deployment and monitoring.

• Design, build, and deploycomplex systems and products to delivervalue to the organization.

• Demonstrateadvancedtooling and techniques to technical teams across the company.

CORE ELEMENTS RELATED TO THIS ROLE:

• Lead and contribute to the development of advancedtechnology services globally.

• Stay updated on the latestadvancements in technology and explore new platforms and tools.

• Manage and maintain the software infrastructuresupportingadvancedtechnologyplatforms.

• Understand and implementmodern deployment techniques usingindustry-standard tools.

• Implement deployments in ascalable and efficientmannerusingRESTfulAPIs, microservices, and containerization.

DIMENSIONS AND ASPECTS:

Technical/Functional (Line) Expertise

• Solve complextechnologyproblemsindependently and collaboratively.

• Demonstrateadvancedtooling and techniques to technical teams.

• Stay updated on moderntechnologies and industrytrends.

Leadership

• Ability to managemultiple 3rd party operations providers to deliver at appropriate levels of quality, response times, stability and agility.

• Ability to work with DevOpsengineersacross Takeda in amodernEcosystem of Products, Platforms, Analytics and Microservices to give Takeda a modern footprint.

• Align and Drive ourAgile and DevOpsdrivenoperations groups to a better end-state, for R&D and set an advisoryexample for the rest of Takeda.

• Manage and collaborate with third-party operations providers to deliver high-quality services.

• Work with cross-functional teams to drive the organization'stechnology strategy.

• Providestrategicdirection and leadership as a senior technology director.

Decision-making and Autonomy

• Ability to drive ourthird-party support teams to maintain a stableanalyticsecosystem.  It willrequire the need to make tacticaldecisionwhenneeded to ouroperationalenvironments.

• Ability to work through and propose propertechnologychoices.

• Independentlymanage day to day operationalissueswhileknowingwhen to escalate more criticalproblems or decisions in the environment.

• Make tacticaldecisions to ensure the stability of technologyecosystems.

• Propose and implementtechnologychoicesaligned with organizational goals.

• Manage day-to-day operationalissues and escalatecriticalproblems or decisionswhennecessary.

Interaction

• Providetechnology leadership for R&D on a global scale, emphasizingadvancedroles and responsibilities.

• Manage multiple teams in both project and operations engineering, ensuringefficient and effective delivery.

• Take ownership of the R&D Cloud, overseeingitsdevelopment, implementation, and maintenance.

• Drive advancedtechnologydevelopment and implementation, stayingat the forefront of emergingtechnologies.

• Manage and optimize the budget for R&D activities, ensuringresources are allocatedeffectively.

• Determine and implementusefulemergingtechnologies on a global scale, drivinginnovation and efficiency.

• Collaborate with cross-functional team members, including Data Engineering, Data Scientists, Functional Leads, Business Partners, Product Owners, and others, to alignefforts and achieveshared goals.

• Reinforce and coordinate with otherDevOps engineering organizations to ensureseamlessintegration and coordination of technical aspectsacross the ecosystem.

• Engage with Enterprise Architecture, otherDevOps teams, Platform Teams, Functional Data Teams, and Quality Teams to ensure the harmoniouscoexistence of Data Engineering services with other best practices and deployments.

Innovation

• Ability to work with othercutting-edge teams, including Data Engineering and AI, to drive future state capabilities thattend to involve work thatmay be unknown in the beginning.

• Ability to understandcomplexproblems and be able to applymoderntechnology patterns to them.

• Ability to iterate and innovate astheyapplymodern product techniques whilefostering an environmentthatencouragesappliedinnovation.

• Drive the development of future state capabilities in advancedtechnologies.

• Applymoderntechnology patterns to solve complexproblems.

• Foster an environmentthatencouragesappliedinnovation.

Complexity

• Ability to distillcomplexoperational feedback intoactionable strategies, implementations and stable deployments.

• Ability to have an agile time-based delivery team operatewithin a traditional project and waterfall-based funding and approvalcycles.

• Drive complex deployments from Design to implementation and finally deployment.  Many of these solutions are difficult to make stable at scale.

• Translatecomplexoperational feedback intoactionable strategies and implementations.

• Navigate traditional project and funding cycleswhileleading agile delivery teams.

• Drive complex deployments from design to implementation, ensuringscalability and stability.