IT Delivery Manager (Data & Analytics)

  • Arcondis
  • Basel, BS, Switzerland
  • 13/01/2023
Full time Data Analytics Data Management Biostatistics DevOps

Job Description

ABOUT ARCONDIS

Arcondis is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes,

information technology, and digital transformation since 2001. We create value through cross-functional, sophisticated delivery methodologies and intelligent implementation. Our clients love to work with us because of our unique skillsets, our pragmatic approach, and our will to win.

MISSION

Tasks and responsibilities

Drive all aspects of a program or project life cycle, including strategy, service model definition, road-mapping, architecture, implementation, and development to gain maximum exposure and drive success

Manage technology programs, defining milestones and success criteria, resource allocation and successful on-time delivery

Conduct data analysis to make business recommendations in areas such as cost-benefit, invest-divest, forecasting and impact

Exercise technical judgment in working with large, cross-functional teams

Communicate schedules, priorities, and status to all levels in the company

Manage relationships with key stakeholders

Coach and mentor our team and propose new roles aligned to the R&D IT sourcing strategy

STUDIES

Your profile

Bachelor’s degree in a Science, Technology, Engineering or Mathematics discipline

Solid knowledge of agile delivery and steady state operations (e.g., Agile Methodologies, Scaled Agile Framework, DevOps)

Several years’ experience as a delivery program or project manager of modern IT platforms in data ingestion, harmonization, advanced analytics, and machine learning

Experience working with data analytics tools and reporting platforms

Experience with data, data architecture, modeling, trends analysis, statistics, and program evaluations

Experience managing execution and high-quality product delivery

Experience with workflow automation

Understanding of software development lifecycle

Experience in the Life Science industry preferred

Self-motivated leader who is result oriented, able to set priorities, guide and motivate others for success

Courage to act and challenge the status quo

Advanced written and verbal communication skills in English, additional languages beneficial