Job Summary: 

• Orchestrate the implementation of a Training Data Management Platform (TDMP), responsible for developing refined AI training data sets
• Work with line of business and corporate function operational data teams
• Ensure the seamless integration of data sets into the strategic data management platform for AI/ML development and training
• Work closely with key stakeholders across business, technology, risk, compliance, and data science ensuring all solutions put in place are fit for purpose
• Work closely with data labeling and annotation teams to ensure data sets are properly transformed for AI/ML training purposes
• Ensure the core platform and frameworks support large-scale batch, ETL and real-time data pipelines using cloud and on-premises data technologies
• Design best practices for data processing, data modeling and AI/ML data training for the organization
• Understand end-to-end data interactions and dependencies across complex data pipelines and data transformation and how impact business decisions

Skills on Resume:

• Platform Implementation (Hard Skills)  
• AI/ML Integration (Hard Skills)  
• Data Integration (Hard Skills)  
• Stakeholder Collaboration (Soft Skills)  
• Data Transformation (Hard Skills)  
• Pipeline Architecture (Hard Skills)  
• Best Practices Design (Hard Skills)  
• Impact Analysis (Hard Skills)

Job Summary: 

• Manage and develop the team, including hiring the industry’s top engineering talent, retention, performance management and mentoring them on engineering path and help them achieve career goals.
• Work with the business teams to define roadmaps, drive execution of technology projects, drive operational excellence initiatives and manage technology operations.
• Act as point of contact for communications dealing with project deliverables, setting the expectation, managing priorities, technologies, human factors and management issues.
• Led design and development of highly extensible enterprise data platform to meet the rapid growth of Juvo+ business and capabilities. 
• Establish frameworks, architecture designs, technology implementation, and operational support to enable scalable data analytics capabilities and deliverables.
• Responsible for company’s software development projects, lead development team to deliver multiple projects including requirement analysis, design, coding, test, training and deployment. 
• Make sure project delivered on time, on quality and on scope, promptly adjust project planning based on progress.
• Technical problem solver on the team, identifying innovative solutions to project deadlocks and resolving constraints through consensus and sound judgment.
• Responsible for enhancing data infrastructure, data availability, and broad access to customer insights made available through BI tools, such as PowerBI. 
• Set high standards for engineering excellence and utilize engineering best practices to consistently deliver scalable, production-grade solutions while actively managing costs and overhead.
• Continually raise the bar to improve standards, quality, reliability, and velocity of the teams

Skills on Resume:

• Project Management (Hard Skills)  
• Software Development (Hard Skills)  
• Data Engineering (Hard Skills)  
• BI Tool Proficiency (Hard Skills)  
• Team Leadership (Soft Skills)  
• Strategic Execution (Soft Skills)  
• Innovative Problem-Solving (Soft Skills)  
• Effective Communication (Soft Skills)

Job Summary: 

• Develop and drive a data strategy & roadmap that supports business efficiency and growth.
• Participate in and support global data monetization strategies.
• Enable Covetrus global analytics capabilities with proper data architecture, data sources, and tools.
• Champion a data-driven culture within Covetrus and help train the organization on best uses of data.
• Attract, lead, and develop a high functioning global data technology team
• Operate as a data thought leader for the analytics community and executive leadership.
• Own and operate the data stack from data sources, data collection, data integration, data transformation, data validation, data governance, and data visualization tools.
• Design and implement proper data quality and security controls, ensuring confidence in data analytics.

Skills on Resume:

• Data Strategy Development (Hard Skills)  
• Data Monetization (Hard Skills)  
• Data Architecture (Hard Skills)  
• Data Governance (Hard Skills)  
• Leadership (Soft Skills)  
• Cultural Change Management (Soft Skills)  
• Team Development (Soft Skills)  
• Stakeholder Communication (Soft Skills)

Job Summary: 

• Works with IT peers and CIO in coordinating the IT investment and prioritization process.
• Manages enterprise programs and maintains global project portfolio.
• Works with the CIO to develop and implement an optimized global IT workforce strategy.
• Oversees the development of global standards, governance processes, and performance metrics to ensure IT is aligned with the business and is delivering on its commitments.
• Creatively identifies opportunities for continuous improvement programs for data related processes.
• Manages strategic vendor and partnership relationships to ensure achievement of target objectives. 
• Works in conjunction with procurement to negotiate IT contracts with vendors.
• Leads high-impact data programs and strategic initiatives to ensure desired outcomes are achieved.
• Protects and promotes IT and its reputation within the larger organization.

Skills on Resume:

• Project Portfolio Management (Hard Skills)  
• IT Governance (Hard Skills)  
• Data Program Management (Hard Skills)  
• Contract Negotiation (Hard Skills)  
• Strategic Planning (Soft Skills)  
• Leadership (Soft Skills)  
• Stakeholder Engagement (Soft Skills)  
• Continuous Improvement (Soft Skills)

Job Summary: 

• Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
• Build a high-quality data engineering organization and design the org to scale.
• Build cross-functional relationships with Data Science, Product Management, Design and Software Engineering leaderships to understand data needs and deliver on those needs.
• Drive the design, building, and launching of new data models and data pipelines in production.
• Drive data quality across the product vertical and related business areas.
• Manage the delivery of high-impact dashboards and data visualizations.
• Define and manage SLAs for all data sets and processes running in production.
• Contribute to improving data engineering competency across Facebook.
• Help cultivate and grow highly skilled, multi-functional engineering teams that deliver end-to-end foundational capabilities.
• Manage the professional development and career plans for those on teams and help develop the technology leaders of tomorrow.
• Challenge teams to evolve engineering practices and processes, pioneering new techniques to push the limits of productivity within the organization. 
• Develop and execute the enterprise data & software engineering strategy with peers to enable global goals. 

Skills on Resume: 

• Data Engineering (Hard Skills)  
• Data Pipeline Construction (Hard Skills)  
• Data Visualization (Hard Skills)  
• Project Management (Soft Skills)  
• Leadership (Soft Skills)  
• Cross-functional Collaboration (Soft Skills)  
• Strategic Planning (Soft Skills)  
• Mentorship (Soft Skills)

Job Summary: 

• Ensure stability and quality of core data platforms and data warehouses, and code within that power business decisions, analytics, and data science teams
• Collaborate with business partners, Analytics, and Data Science teams to drive experimentation and execution
• Collaborate with Infrastructure and Security teams to ensure data is delivered in an effective secure manner
• Provide Agile mindset leadership for teams across Data Modeling, Data Analysis, Solution Design and Data Engineering deliverables 
• Coordinating activities and managing engineering processes including planning, scheduling, resource allocation, vendor management, design, and development
• Implement new technologies to address challenging and complex business capabilities (including cloud technologies)
• Define and enforce standards and best practices for technical design and development activities
• Determine implementation strategies and approaches, as well as staffing plans for simple to complex initiatives involving cross functional teams
• Manage strategic vendors and defining engagements and associated budgets
• Act as the liaison between the Data Engineering group and key internal and external stakeholders including executive leaders
• Provide consulting, guidance, recommendations, and solution presentations to a broad and diverse audience

Skills on Resume:

• Data Modeling (Hard Skills)  
• Data Analysis (Hard Skills)  
• Solution Design (Hard Skills)  
• Data Engineering (Hard Skills)  
• Project Management (Soft Skills)  
• Leadership (Soft Skills)  
• Stakeholder Engagement (Soft Skills)  
• Vendor Management (Soft Skills)