M&Q Data Architect

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Elanco is investing in our data and information landscape to become a company that is more data-driven than ever before. The Elanco M & Q organization generates a large volume of data across our global manufacturing footprint. This includes data collected at specific manufacturing sites across our Biotech and Small Molecule Network but also from various supporting functions. This is expanding to include streaming data from devices and other heterogeneous sources. In close collaboration with business partners and our Product Management team, the M & Q Data Architect is responsible for influencing and developing an integrated data strategy and providing leadership for data-related projects and products across the function.

In partnership with M & Q leaders, this role will be a key thought leader and enabler for harnessing data to power our supply chain at Elanco. Opportunities exist to integrate and drive predictive insights from operational data and explore IoT and edge analytic solutions. To be successful in this position, candidates must develop strong domain knowledge as well as technical expertise in the design and engineering of data solutions.

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.

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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 strategy for leveraging M & Q data and create mechanisms/models to accelerate development and/or improve probability of technical success.

• Engage with M & Q leaders on due diligence, proof-of-concepts, and exploratory work to assess partnership and/or new business opportunities.

• Actively engage in the external pharma and animal health science and technology ecosystem in seeking out advances and modern approaches for data management, analysis and advanced analytics in the M & Q space.

• Actively build and stay abreast of emerging technologies in the data space, guiding IT and the business partners on how to interpret and best leverage innovative technologies.
   

Enterprise Data

• Collaborate with the Data Engineering & Platforms Enterprise Architect to contribute to the enterprise design and delivery of efficient data platform and solution architectures, automation and technology choices starting from experimentation through proof of concept and delivery.

• Proactively engage with the IT community (internally and externally) across multiple channels, looking to share, represent, educate, and inspire.

• Serve as a coach for IT Data Product Owners/Analysts/Engineers to advance individuals’ technical acumen.

• Establish strong partnerships with key service providers, helping to ensure technical competency and architecture alignment.

Basic Qualifications

• B.S. in Information Systems/Computer Science

• 5+ years of experience in architecting and delivering integrated data solutions

• 3+  years of experience building and optimizing data pipelines in cloud/hybrid cloud computing environments (Azure, Google Cloud).
   

Additional Skills/Preferences

• Previous experience in a Manufacturing & Quality function

• Proven track record in leading and delivering on complex data projects

• Expertise in data management, information integration and analytics practices and capabilities.

• Experience working with modern data architectures and engineering methodologies (Domain driven data architecture, Scalable data pipelines, DataOps (CI/CD), API-Centric Design, SQL/NoSQL, FAIR data principles, etc.)

• Exposure to projects supporting development of data pipelines and data products using Azure storage, search, catalog, API management, and data processing & analytics services such as Azure Data Factory, Data Bricks, Synapse, and PowerBI.

• Familiarity with Machine Learning workflows and Data Science concepts.

• Proven track record as a coach and/or mentor in developing technical skills.

• Good interpersonal and communication skills; proven ability to work effectively within a team.

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status