• Unite product teams across a common set of goals and support teams with alignment to RGA’s policies and procedures. 
• Focus on the architecture of big data and machine learning infrastructure and services that will power capabilities and data-driven products across multiple entities. 
• Fostering communication and cooperation across dispersed product teams, contributing to a global data architecture strategy
• Providing data architectural leadership while maintaining information security and compliance standards across various geographical regions. 
• Participate in Global Product Portfolio (GPPM) strategy and vision definition
• Enabling expanded internal and commercial value through data across the entity and product lines. 
• Maintain a flexible architecture and governance model as pillars of GPPM strategy development in close collaboration with RGA. 
• Collaborate, maintain and manage GPPM organization data architecture models, spanning from the conceptual holistic vision of the company’s cross-product architecture, including big data architecture, through logical and/or physical models
• Assess the use of internal and acquired data, how data relates to business value and operations and predict how changes will affect data use, then manipulate the data architecture to compensate. 
• Act as data/big data architecture consultant to GPPM product teams. 

Skills: Cross-Functional Team Leadership, Big Data and Machine Learning Infrastructure Design, Global Data Architecture Strategy, Strategic Vision and Portfolio Management, Data Value Optimization, Flexible Architecture and Governance Models, Comprehensive Data Architecture Management, Data Architecture Consulting

• Review and understand clients' existing cloud security measures and processes, and advise on best practice
• Ensure appropriate tooling, automation, and operational processes/models are in place, providing full support to the client during their journey to the cloud
• Work with various levels of stakeholders leading them on their journey
• Discuss client needs for both project delivery and proposal work - translating these into solutions and executing the project
• Building and maintaining client relationships
• Aware of industry standards, regulations, and their impacts and how to apply those through effective architectural design
• Clearly define the hypothesis, gate criteria and success criteria to deliver the environments necessary to realize value from those opportunities. 
• Aid in technology selection as the business defines new features requiring expanded system capability. 
• Support the design and continual enhancement of the GPPM set of shared data capabilities to accelerate product teams, aligning to product entity business needs. 
• Participate in GPPM M&A due diligence and integration strategy planning as related to the acquisition of new data sources. 

Skills: Cloud Security Assessment and Best Practices, Tooling and Automation Implementation, Stakeholder Management, Solution Design and Execution, Client Relationship Management, Architectural Design and Compliance, Technology Selection and System Capability, Data Capabilities and M&A Integration

• Develop an overarching enterprise and multi-cloud data strategy
• Plan and oversee the migration of the on-prem data warehouse to the cloud, ensuring best practices around cloud-native design and security
• Design a partner-friendly data integration ecosystem in the cloud.
• Lead data integration initiatives with partners and providers.
• Collaborate with architects, business partners and vendors
• Implement cloud-native services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift.
• Enable new analytics capabilities by selecting and implementing the best tools, practices and patterns.
• Review proposed data models contained in packaged, custom developed and commercially available applications
• Establish metrics for tracking and measuring the value of data architecture initiatives
• Provide leadership to enable new capabilities for Business Intelligence, and mentor data team members.

Skills: Enterprise and Multi-Cloud Data Strategy Development, Cloud Data Migration Planning and Execution, Data Integration Ecosystem Design, Cloud-Native Service Implementation, Analytics Capability Enhancement, Data Model Review and Optimization, Metrics and Performance Tracking, Leadership and Mentoring

• Manage the organization's digital information flow, assuming responsibilities from the high level (strategy) to interface contracts and methodologies
• Work directly with the customer (direct suppliers and third parties) and in close collaboration with the software development teams (nationally and internationally)
• Responsible for implementing the data design strategy, assessing its integrity, selecting and defining data transfer patterns
• Use creative and results-driven problem-solving to lead engineering efforts for product teams. 
• Maintain regular and predictable attendance.
• Assist manager in recruitment, interviewing, and hiring process
• Miscellaneous reporting duties as assigned by the manager
• Comply with all safety rules/regulations, in conjunction with the Injury and Illness Prevention Program (“IIPP”), as well as, maintain HIPAA compliance
• Work with the other geographies of the Company to ensure that projects and solutions are in line with the Group's general architecture and that they can be integrated into the entire design
• Establish requirements and standards for development teams and support the definition of appropriate testing strategies for the structures and data integrations developed

Skills: Digital Information Flow Management, Client and Supplier Liaison, Data Design and Integrity, Creative Problem-Solving, Attendance and Reliability, Recruitment and Hiring Support, Regulatory Compliance, Architectural Alignment and Integration

• Design, implementation, and management of clinical trials across a range of benefits
• Develop both external and internal networks for the integration of key components of a successful clinical trial.
• Manage study logistics, timelines, and budget/expense tracking.
• Prepare documentation for study placement and clearances, clinical trial protocols, and IRB submissions
• Conduct study close-out and tasks, including documentation and archiving of study materials.
• Contribute to the development of Standard Operating Procedures and adhere to all aspects of Governance and Quality systems.
• Represent clinical operations are regulatory meetings, sponsor meetings, and any other multifunctional meetings
• Approve Electronic time cards for employees
• Oversee Quality Control and tracking of error rates
• Oversee production while developing, tracking, and enforcing Quota
• Track all protocol changes made by clients and communicate those changes with the closing team

Skills: Clinical Trial Design and Management, Network Development and Integration, Study Logistics and Budget Management, Documentation Preparation, Study Close-Out and Archiving, SOP Development and Compliance, Regulatory and Sponsor Representation, Quality Control and Error Tracking

• Experience in application architecting development on Azure Cloud.
• Must possess a business-level understanding of enterprise application systems to drive innovations and transformations.
• A good understanding of Cloud Native services and how they ascribe to application requirements.
• Hands-on experience in dataflow, Pyspark, Data Lake, data warehousing, Data Catalog, and orchestration.
• Should understand microservices application architecture.
• Have an excellent understanding of DevOps principles.
• Ability to provide holistic and right-scale cloud solutions that address scalability, availability, service continuity (DR), and performance and security requirements.
• Strong Scripting and Automation skills - Python/Nodejs etc. and relevant SDKs.
• A clear understanding of IAM roles and policies and how to attach them to business entities and users.
• Provide deep development knowledge concerning cloud architecture, and design patterns.
• Design understanding and experience in RDBMS, NoSQL, and RDS.

Qualifications: BS in Information Technology with 7 years of Experience

• Experience as a Data Architect, Data Scientist, Data Analyst, or similar role
• Have experience with Snowflake, Redshift, or similar
• A good working knowledge of Python, Spark scripting, Javascript scripting
• Hands-on with AWS, and work in and out of AWS. 
• Experience around Data Lake Concepts/Commonly used AWS Services (EC2/ECS, Lambdas, Step functions, S3, IAM, Athena, AWS Glue)
• The ability to design big data batch processing/near real-time analytics.
• Working experience with Terraform
• Experience working with Looker or Tableau
• A self-initiated leader who consistently delivers high-quality results with limited guidance and willingly trains, guides and positively influences others.
• Experience with Customer Journeys, Salesforce Sales Cloud and Salesforce Marketing Cloud, Amazon Web Services
• The ability to work on multiple projects at one time

Qualifications: BS in Computer Science with 6 years of Experience

• Experience as a cloud analytics architect.
• Experience with enterprise-level data strategy with deep experience in the customer domain.
• Experience integrating customer data to deliver high-quality Customer Experience analytics.
• Experience with call center and OMNI channel data - IVR, voice, chat, web, co-browser, and survey.
• Experience with AWS Cloud Analytics use cases and toolset.
• Experience with designing API-centric systems.
• Strong need for completion, with an ability to work around/through impediments.
• Committed to high-quality results with the capability to QA own work.
• Experience using other programming languages such as Unix Shell scripting or Python
• Knowledge of Data Engineering tools such as Informatica, AirFlow, etc.
• Unquestionable integrity and ethics.

Qualifications: BS in Software Engineering with 5 years of Experience

• Experience building a data warehouse and a data lake on the cloud (Google platform)
• Experience with one or more reporting tools including Tableau, Looker, Splunk, etc.
• Experience in one or more of the following - Machine Learning, Business Forecasting, Customer Analysis, Travel Industry, Web Site Analysis, or Management Reporting.
• Strong written and verbal communication skills, including some technical writing skills.
• In-Depth, hands-on SQL development, with Oracle or BigQuery, and/or technologies/implementations
• Assertive, persuasive, and able to assume a leadership role in implementing solutions.
• Able to bridge business and technical domains with an interest/ability to learn new technologies and business models, and subject areas.
• Experience working with business customers understanding both stated and unstated requirements. 
• Eliciting, organizing, and then translating and simplifying requirements.
• Demonstrated history of living the values important to Priceline: Customer, Innovation, Team, Accountability, and Trust. 
• Strong analytical skills to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details and abstract up from low-level information to a more general understanding.

Qualifications: BS in Data Science with 9 years of Experience

• Prior experience operating as an Oracle DBA in large-scale environments.
• Experience working on a large-scale data warehouse environment (especially Oracle)
• Thorough knowledge of database and data technologies in general.
• Knowledge and hands-on experience with AWS data services including some of the following technologies - S3, CloudFormation, Terraform, AWSCLI, Redshift, Glue, Snowflake, Lambda, Cloud formation, Athena, Fargate and RDS.
• Familiarity with the Infrastructure as Code approach to deploying AWS resources in the Lake. 
• Familiarity with technologies such as Git, CloudFormation, Terraform, AWS CLI and AWS CDK.
• Excellent interpersonal skills, including the ability to work effectively with persons on all levels.
• Excellent troubleshooting skills under deadline pressure in a production environment.
• Knowledge of database modeling concepts and software such as Erwin.
• Strong record of project execution and completion using Scrum and agile development practices.
• Excellent written, verbal, and interpersonal communication skills including the ability to interact with all levels of employees and customers throughout the organization.

Qualifications: BS in Cloud Computing with 8 years of Experience