Data Architect (Manufacturing & Quality)

At Elanco (NYSE: ELAN) – it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.

We’re driven by our vision of ‘Food and Companionship Enriching Life’ and our approach to sustainability – the Elanco Healthy Purpose™ – to advance the health of animals, people, the planet and our enterprise.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment.

We believe that diversity is the driving force behind innovation, creativity, and overall business success.

Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals’ lives better makes life better – join our team today!

Your Role:

The role will be a part of the Data Engineering & Platforms team which is responsible for transforming Elanco into a data-driven company through a dedicated focus on data architecture, engineering, and analytics.

In this role, the M & Q Domain lead will also partner closely with enterprise data architects and peers to identify and implement global capabilities and deliver data solutions in alignment with Elanco’s enterprise reference architecture and engineering framework.

This position reports to the Senior Director IT – Data Engineering & Platforms.

Your Responsibilities:

Data Domain Architecture


* Partner across M & Q stakeholders and Product Management to develop an integrated data strategy for maximizing value derived from internal data assets and the external data ecosystem.


* Collaborate with business partners to identify, scope, and execute analytic efforts to answer business questions, solve business needs, and drive insights for Elanco.


* Maintain a holistic view of the functional data landscape and drive the adoption of data by identifying use cases across Elanco M & Q and other enterprise data assets.


* Align data products and pipelines with the enterprise data strategy and architecture.


* Design scalable data pipelines that will ingest, transform, and distribute numerous data streams and batches in support of key initiatives.


* Support and collaborate with Data Scientists developing advanced machine learning and statistical models.


* Prototype, test and learn, and plan the design and integration of workflows applied to M & Q data.


* Identify, design, and implement process improvements opportunity by automating manual processes and optimizing data delivery.


* Where required, deep dive key initiatives to help overcome technical incidents, complex problems and/or realize opportunities.


* Be accountable for contributing to business plan and financial forecasting based on the M & Q data portfolio.

Innovation


* Partner with M & Q stakeholders to develop comprehensive strateg...