Job Description

As a leading global animal health company, Elanco delivers innovative products and services to improve the health of pets and farm animals around the world because we believe making animals' lives better, makes life better. Since 1954, we have provided solutions that support veterinarians, farmers and pet owners to advance our vision of Food and Companionship Enriching Life. Elanco's promise to employees: Together, we foster an inclusive culture where everyone can make a difference, encouraging ownership, growth and well-being.

Role & Responsibilities

Leadership (70%)

• Partner with DataOps Lead Team to establish and scale the Enterprise Data Support Team as a growing area within Elanco
• Establish support KPIs and an escalation matrix, keeping track of all operational processes and performance through ServiceNow
• Build appropriate dashboards and other content to illustrate the health of our data capabilities and platforms.
• Collaborate within and across teams to define, embed and scale the DataOps Operational processes for supporting our Enterprise Data Products and Pipelines to enable the business initiatives in Elanco.
• Partner with Data Ops Delivery Lead for demand shaping, prioritization, and alignment.
• Identify and position new methodologies, techniques and concepts that drive operational delivery and efficiencies, including automation, etc.
• Establish a culture of operational excellence, with a focus on continuous improvement.
• Enable and foster strong working relationships with third party service providers for both development and support of data solutions.
• Own the establishment of required capabilities and skills, anticipate future needs, staff to needs, and continuously work to develop people and the organization.
• Recruit, develop, engage, and retain a diverse, high-performing team.
• Coach and mentor, the operational staff to maximize each individual's contribution and to help them achieve their full potential
• Ensure that the team is delivering quality solutions in alignment with our enterprise Elanco quality policies and procedures
• Demonstrate ownership in understanding the organization's strategic direction as it relates to your team and individual goals.

Data/Infrastructure Operations (30%)

• Display adaptability, flexibility and the ability to do the right thing under pressure and tight deadlines.
• Demonstrate strong troubleshooting and critical thinking skills when faced with complex technical issues involving multiple technologies
• Show a strong ability to lead, perform, and deliver results in high pressure situations with multiple parties involved
• Handle multiple customer issues and effectively balance priorities
• Provide data/infrastructure operational subject matter expertise and hands-on support for data- capture, ingestion, curation, and pipeline development on Azure to deliver cloud optimized data solutions.
• Understand the data products and provide the operational support to ensure uptime of the system for 24*7, and lead the team in supporting reliable, efficient, scalable, and quality data pipelines.
• Provide expertise on PaaS, IaaS, or SaaS consultancy on Azure system; big data platform; server-less architectures.
• Develop and evolve new or existing data support methods and procedures to create possible alternative, agile solutions to moderately complex solutioning
• Stay abreast with new and emerging data and infra operational technologies, tools, methodologies, and patterns on Azure and other major public clouds.
• Work collaboratively and use sound judgment in developing and supporting robust solutions while seeking guidance on complex problems.

Basic Qualifications

• Bachelors or higher degree in Computer Science or a related discipline.
• 9 years of data/infrastructure implementation experience
• At least 3 years in roles that included operational support of data pipelines and data product design, development, delivery experience and deploying ETL/ELT solutions.

Desired Technical Skills/Experience

• ITIL Qualifications - or at least a good understanding of Incident Management, Change Management, Release Management and Problem Management, Service Requests, Bug Fixes.
• Technical knowledge of the Microsoft Azure Ecosystem with a focus on Azure Data Factory, Azure Data Lake Storage, Azure native data/big-data tools, technologies and services experience including - Storage BLOBS, ADLS, Azure SQL DB, COSMOS DB, NoSQL and SQL Data Warehouse and PowerBI
• 5 years of hands-on experience in programming languages, Azure and Big Data technologies such as Powershell, C#, Java, Python, Scala, SQL, ADLS/Blob, Hadoop, Spark/SparkSQL, Hive, and streaming technologies like Kafka, EventHub etc.

Additional Skills/Experience

• Hands-on experience in implementing data migration and data processing using Azure services: Windows/Linux virtual machines, Docker Container and Kubernetes Cluster Management, AutoScaling, Azure Functions, Server-less Architecture, ARM Templates, Logic Apps and Data Factory, Azure network security group, Key management service, etc.
• Azure Certifications would be strongly preferred.
• Knowledge of Spark Framework 3.x version
• DevOps on an Azure platform and/or Github Actions
• Familiarity with metadata management tools, techniques, and technologies such as Azure Data Catalog, Azure API Management, Collibra
• Experience in using Hadoop File Formats and compression techniques.
• Experience with private and public cloud architectures, pros/cons, and migration considerations.
• Proven ability to work independently.
• Proven ability to work in a team-oriented environment and work collaboratively in a problem-solving environment.
• Proven track record as a coach and/or mentor in developing technical skills.
• Excellent written and oral communication and interpersonal skills.
• Excellent organizational and multi-tasking skills.

Experience working in complex, diverse landscapes (business, technology, regulatory, partners, providers, geographies, etc.)

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