Head of R&D Delivery Excellence
Daiichi Sankyo, Inc.

Denver, Colorado

Posted in Pharmaceuticals


This job has expired.

Job Info


Job Description

Join a Legacy of Innovation 110 Years and Counting!

Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 100 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 15,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group's 2025 Vision to become a "Global Pharma Innovator with Competitive Advantage in Oncology," Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.

Join a Legacy of Innovation 110 Years and Counting!

Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 100 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 15,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. Under the Group's 2025 Vision to become a "Global Pharma Innovator with Competitive Advantage in Oncology," Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.

This role has the flexibility to function on a remote basis for those outside the region OR corporate Basking Ridge NJ site based.

Summary

The Head of R&D Delivery Excellence is responsible for building and deploying a Global Strategy for R&D Organizational Risk & Issue Management, Business Process Engineering and Resource Management Analytics. Organizational Risk & issue Mgmt. will have a focus on developing a formalized, harmonized approach to capturing, categorizing, trending, measuring, predicting, escalating, mitigating and recycling learnings from risks and issues within and across functions for R&D along with ties to other Functions (e.g., QA,CSPV,Drug Supply), Corporate and the external landscape. Business process engineering will focus on diagnosing problems with current process methodology, with an eye to redesign, reconstruct, automate, simplify, then monitor for effectiveness. Analytical Resource Management will focus on implementing a data driven approach to optimizing resource planning, deployment, productivity and costs. They will lead the development and evolution of advanced role-based algorithms, metrics and modeling to forecast resource demand alongside effort tracking actuals and headcount allocation working in partnership with Finance, GPM & All Other Line Functions. Build and manage a team of Process Engineers, Organizational Risk & Issue Management Lead and Analytical Resource Management Leads.

Responsibilities

  • Strategy & Partnership
    • Define strategy and roadmap for deployment across all 3 domains (Process Engineering, Analytical Resource Mgmt, Org Risk & Issue Mgmt)
    • Establish linkages/line of sight between functional and geographical differences/opportunities along with connection point to other Non-R&D functions and Corporate
    • Initiate baseline inventory/need assessments surrounding existing functional processes, people and systems with impact on all 3 domains
    • Design and deliver appropriate operating model, governance and ways of working to effectively deliver these capabilities across R&D
    • Execute with strong project management skills, including monitoring work-plans and managing against milestones, knowing what to prioritize and why, knowing who to keep informed, why, and how often, and knowing when to escalate
    • Collaborate with other groups in Global R&D Excellence to leverage expertise to build any necessary solutions
    • Establish strong relationships cross-functionally, globally and with key established committees
    • Maintain a pulse on industry advancements to ensure agility & optimization
  • Organizational Risk & Issue Mgmt.
    • Evaluate existing risk & issue mgmt. processes functionally, locally, globally, organizationally and externally
    • Develop technical solution for centralized Risk & Issue Mgmt. capture, reporting and analytics
    • Harmonize grading, categorization and standardization of Risks and Issues
    • Formalize process for escalation with clear roles and responsibilities
    • Develop analytical approach in partnership with Analytics function to predict, trend and measure effectiveness and execution
    • Develop vehicle working with Learning & Development to socialize learnings, change the culture/mindset and build new content to avoid repeated risks & issues
    • Maintain a pulse on external landscape, Health Authority focus and emerging risk areas
  • Business Process Engineering
    • Evaluate existing inventory of processes within and cross function, seeking optimization, synergy, gaps & simplification
    • Connect with existing process groups to understand challenges, opportunities, compliance and priorities
    • Search for opportunities to automate processes which are manual, labor intensive through the use of data and technology
    • Re-design processes which are broken, outdated, time and cost laden and measure impact of change
    • Create clear linkages between Processes, Systems and Roles
    • Lead and Support Process Improvement Projects within and outside of DIT
  • Analytical Resource Management
    • Oversee the roadmap, refinement, integration, compliance and roll-out of Source Systems (Planisware, SAP, Workday, etc.) to capture key data to enable Measurement and Analytical model development
    • Oversee the build of New End User Solution to Visualize all resourcing related Data, Trigger Alerts, Analyze Metrics, Scenario Model, Drive Strategy Discussions and Action
    • Oversee the development of Time Tracking System Standards, Governance, Compliance, Expansion and Training
    • Establish Metrics around Resource Productivity, Cost, Capacity, Alerts
    • Oversee the development of advanced algorithms using machine learning based on historical data and LF input
    • Enable evaluation of in-source vs outsourced model cost and effectiveness, vendor/CRO/LF approaches
    • Enable talent skill mapping, leveraging skills of associates and promoting opportunities of growth

Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation.

Education Qualifications (from an accredited college or university)
  • Bachelor's Degree Bachelor's Degree in Life Sciences, Business Administration, Finance, Human Resource Management, Information Technology, Organizational Leadership or equivalent work experience is required. Master's Degree is preferred. required
Experience Qualifications
  • 10 or More Years • Minimum Twelve years of experience within life sciences leading/supporting the optimization of people and processes along with Risk & Issue Mgmt. is required required
  • 4 or More Years • Minimum Five years leading a function in at least one of these domains (Risk & Issue Mgmt, Resource Mgmt, Process Engineering) is required, multiple preferred required
  • • Working experience in all 3 domains is preferred preferred
  • • Strong understanding of the research and drug development life cycle processes, roles and systems across R&D functions is required, direct experience in multiple R&D functions is preferred preferred
  • • Relevant Certifications such as PMP, BPM, Lean Sigma preferred preferred
  • • Experience running Black/Green belt projects from start to finish with clear impact is required required
  • • Extensive Experience overseeing Resource mgmt. process including design and maintenance of resourcing algorithms and solutions is preferred preferred
  • • Extensive experience driving Risk & Issue Mgmt. process either in QA, Quality Mgmt., Risk Mgmt. or within a Business Function is preferred preferred
  • • Data, Analytics, Metrics, Solutions experience preferred preferred
  • • Experience establishing global business processes, cross-functionally in alignment with Regulations is required required
  • • Experience building Partnerships, Collaboration and Cross-Functional Initiatives is required required
  • • Demonstrated ability to influence at all organizational levels through clear, concise, and impactful verbal and written communication skills is required required
  • • Experience defining and generating business performance metrics is required required
  • • Knowledge of key industry regulations relating to R&D Delivery is required required
  • • Proven ability to work in a global and highly matrixed environment is preferred preferred
  • • Ability to build, mentor and grow a high performing and cohesive team is required required
  • • Experience supporting Audits and Inspections is preferred preferred

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.


This job has expired.

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