Cardinal Health
Cardinal Health
Cardinal Health ir globāls veselības aprūpes pakalpojumu un produktu uzņēmums, kas atbalsta slimnīcas, kopienas veselības centrus, ambulatorās ķirurģijas centrus, aptiekas un citus veselības aprūpes pakalpojumu sniedzējus. Uzņēmuma darbība ietver medicīnas piederumu izplatīšanu, farmācijas produktu izplatīšanu, veselības aprūpes loģistiku, medicīnas produktus, pacientu atbalstu, aptieku pārvaldību un progresīvus terapijas risinājumus. Savienojot produktus, pakalpojumus un darbības kompetenci visā veselības aprūpes piegādes ķēdē, Cardinal Health palīdz pakalpojumu sniedzējiem uzlabot aprūpes nodrošināšanu, vienlaikus pārvaldot ikdienas efektivitāti un sarežģītību.

Data Engineering Manager at Cardinal Health

Lead enterprise data transformation teams at Cardinal Health, overseeing Google Cloud platforms and analytics and AI/ML operations. Guide delivery, platform improvements, and talent development.

Apraksts

  • Lead enterprise teams responsible for data transformation operations.
  • Use software engineering and DevOps practices to maintain large-scale enterprise data layers for analytics and machine learning on Google Cloud.
  • Apply product thinking and Agile practices to improve data platforms, deliver capabilities, address gaps, and automate solutions.
  • Oversee department operations and supervise employees, vendor resources, and business support staff.
  • Recruit, staff, coach, and develop team members.
  • Create shared service practices for transformation and operations supporting analytics and AI/ML solutions in the Operational Data Lake and related systems.
  • Oversee enterprise data transformation operations, planning, demand management, budgets, and performance metrics.
  • Manage stakeholder expectations and build productive relationships.
  • Create policies and procedures to meet defined goals.
  • Contribute hands-on to software development, project management, cross-functional coordination, and team communications.
  • Build agreement across teams and deliver results.
  • Work through the software development lifecycle with developers, quality engineers, product managers, and other teams.
  • Manage delivery timelines, surface issues, and keep stakeholders informed.
  • Secure the resources needed to execute projects.
  • Work with Cloud Platform teams to standardize data loading, deployment, and monitoring operations.
  • Ensure employees follow compliance requirements, organizational governance, and technology Center of Excellence guidelines.
  • Explain complex information clearly and concisely across audiences and communication channels.

Prasības

  • A bachelor's degree is preferred, or equivalent work experience.
  • Experience managing teams of 10 or more, including full-time, contract, and/or vendor staff.
  • At least 8 years of experience with big data systems, data lakes, and analytics, including management of build and run teams.
  • Knowledge of data movement and cloud data warehouse technologies, including Google Cloud Platform, BigQuery, and Google Cloud Storage.
  • Experience managing teams and service delivery in an offshore delivery center for a multinational company is preferred.
  • Strong knowledge of Scrum methods and artifacts, including definitions of done, user stories, showcases or demos, story estimation, and backlog refinement.
  • Ability to support employees' professional development and career progression.
  • Strong spoken and written communication skills.
  • Experience with DevOps and Agile practices is preferred.

Priekšrocības

  • An inclusive workplace that values diversity of thought, experience, and background.
  • Equal opportunity employer.

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