• Handle technical issues with the TTFields treatment planning software and provide technical support to customers with an emphasis on the operation of a custom algorithms toolbox.
• Support team grows, takes a major part in its training.
• Gather customers’ feedback and deliver key findings to R&D leadership.
• Collect high-quality data that may fuel future development of the treatment planning.
• Responsible for developing and managing data operations by collaborating with senior stakeholders across the organization.
• Responsible for the development and management of the Operational Model, inclusive of Intake Management, Business Production Support (root cause analysis, driving issues to resolution, prioritization & escalations), Enhancements, Quality Controls and Reporting (audits).
• Responsible for data maintenance and management.
• In charge of building data best practices across the organisation
• Led a team to proactively identify and mitigate data quality issues, and respond to data source changes or outages, as well as escalations from customers and other stakeholders
• Support geographic expansion by measuring and improving quality as new types of data and new data sources are onboarded

Skills: Technical Troubleshooting, Customer Support, Data Quality Management, Stakeholder Collaboration, Operational Model Development, Team Training, Data Best Practices, Root Cause Analysis.

• Lead strategy and planning to expand data operations capabilities
• Manage a large global network of collection vehicles
• Build strategic plans to further scale operations
• Implement operational improvements related to process or system-based challenges
• Review operational performance & assess major risks & opportunities
• Partner effectively with cross-functional teams including Engineering and Product
• Collaborate with 3rd parties to support global data operations
• Be responsible for a cross-functional team to manage day-to-day operations
• Build executive presentations, crafting the message for senior executives
• Monitor key data quality and operational support metrics, as well as customer feedback signals, to identify and advocate for opportunities to create additional value for agents and clients
• Prioritize data support operations needs based on impact, and an ability to establish trust and improve the overall customer experience
• Partner with Product and Engineering squads to continuously improve the breadth, depth, and capabilities of data quality monitoring and operational support tooling
• Interface directly with customers and regional leaders to understand and craft solutions to specific data support needs in each of the geographical markets

Skills: Global Operations Management, Strategic Planning, Process Improvement, Risk Assessment, Cross-Functional Collaboration, Data Quality Monitoring, Executive Communication, Customer Solution Development

• Manages a provider data service unit including provider demographic, contract rate configuration, and auditing staff. 
• Manages workstreams with vendor operations.
• Accountable for team objectives including quality and turnaround time of provider data and rate configuration transactions.
• Develops and maintains provider data and contract rate configuration policies and procedures.
• Develop, maintain and review reports (e.g. metrics, auditing, turnaround time, quality) to assess performance, identify issues and prioritize workloads.
• Set direction and provide strategic direction to team members.
• Manage and perform human resource functions for staff.
• Manages roster update process with delegated entities and large provider groups.
• Manage vendor resources performing provider and rate configuration activities.
• Partner with network management to support strategic initiatives.
• Establishes and maintains strong relationships with project leaders and members of technical competency centers in Enterprise Services. 
• Participates in internal collaboration groups and industry forums for data analytics

Skills: Provider Data Management, Vendor Operations Management, Quality Assurance, Policy Development, Performance Reporting, Strategic Direction, Human Resource Management, Stakeholder Collaboration

• Cleansing, analyzing and validating incoming client policy and claims data
• Gathering, consolidating and documenting user requirements for the transformation of client data to PLRe systems
• Preparing test plans and performing testing to ensure transformation of client’s data is performed as per user requirements.
• Supporting the development of PLRe systems and issues resolution, liaising with IT and other functions
• Performing periodic user acceptance tests on PLRe Systems to verify the deployment of enhancements and changes
• Loading client data into SAP data warehouse
• Working closely with Corporate Actuarial and Finance teams to ensure the provision of accurate data for valuation and reporting
• Working closely with R&D team to ensure the provision of validated data for experience analysis
• Coaching and developing direct reports to achieve team and company goals as well as individual performance standards. 
• Ensuring team members are motivated, performing to high standards and continually developed to full potential.
• Work with Leadership teams to understand the most critical problems in South Cone and perform detailed analysis to find root causes to behavioral patterns
• Work with cross-functional teams to craft and deploy operations and product solutions to tackle these issues
• Help address critical issues in driver and rider experience (e.g. fraud, cancellations) to ensure we provide a magical experience for clients

Skills: Data Cleansing, Requirements Gathering, Testing, System Support, User Acceptance Testing, Data Loading, Cross-Functional Collaboration, Team Development

• Day-to-day management and operations of ETL processes and other scheduled data services
• Governance & Administration of user group for analytics consumers in Canadian Operations
• Support design and development of logical and physical data models for analytics applications
• Guides team members who build end-to-end data processes. 
• Locating source data, creating database schema/tables and files for storing data
• Coordinates production deployment tasks including code promotion and documentation across the data engineering team and other teams
• Oversees and coordinates troubleshooting production processes when errors or failures occur
• Oversees development, documentation, and maintenance of best practices for data operations within Business Analytics
• Develops and maintains a roadmap for continuous improvement of data engineering within Operations.
• Mentors team on best practices related to operational support, continuous improvement, and testing
• Provides guidance and development of subject matter expertise in the design, delivery, and maintenance of complex data services for analytics.
• Serves as subject matter expert in meetings with senior management, supporting questions on data engineering for analytics

Skills: ETL Process Management, User Group Governance, Data Model Design, Team Guidance, Source Data Management, Production Deployment Coordination, Troubleshooting Oversight, Best Practices Development

• Data management experience in the context of large ERP platforms.
• Strong business and technical knowledge and understanding of all Supply Chain data elements, processes, and organizational support models.
• MS Office Suite (Excel, Outlook, Word)
• Strong written, oral, and presentation skills.
• Excellent organizational and prioritization skills.
• Ability to build strong collaborative relationships, influence multiple partners and establish common goals and objectives without sacrificing outcomes.
• Ability to embed a culture of harmonization, process improvement, and value creation across business segments.
• Ability to prioritize multiple initiatives within timelines, in a matrix environment where priorities change rapidly.
• Strong conflict resolution and negotiation skills.
• Ability to lead and influence teams.
• Experience with SAP and/or JDE

Qualifications: BA in Information Systems with 7 years of Experience

• Experience in SQL and manipulating large data sets in a database
• Experience with Python or other scripting languages
• Experience with Business Intelligence tools like Tableau, QuickSight, or Looker
• Experience in a data or business intelligence engineering role at a technology company
• Experience with Apache Airflow or another orchestration platform to programmatically author, schedule and monitor data workflows
• Proven ability to deliver on ambiguous projects with incomplete or dirty data
• Experience conducting large-scale data analysis to support business decision making
• Proficient understanding of data warehouse/modeling methods.
• Experience conducting large-scale data analysis to support business decision-making
• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical team
• Familiarity with Amazon's cloud infrastructure including EC2, S3, Lambda, Neptune, Redshift, and Glue

Qualifications: BA in Data Science with 5 years of Experience

• Proficient in IT operations procedures and support processes.
• Experience working with cloud platforms, big data platforms, and DevOps in operations areas.
• Ability to translate data operations vision into execution through prioritization, team building and stakeholder alignment.
• Proficient in at least one of the following reporting tools and technologies such as Cognos, Power BI, SAP Business Objects, Tableau, Microsoft SSAS
• Proficient in ETL methodologies and tools such as Databricks, PySpark, Informatica
• Good understanding of interdependencies between OS/hardware, storage, network, databases, load balancers and impact on (Data) systems availability and operations.
• Experience managing (operations or delivery) IT solutions using AWS, cloud technologies, DevOps, Continuous Integration and automation methodologies.
• Proficient in a modern operating system (ex. Linux, Windows etc.)
• Proficient in release management, change management, problem management and other IT operational methodologies.
• Ability to prioritize business needs based on importance, urgency or impact to order-taking/order fulfillment/revenue generation processes.
• Excellent verbal and written communication. 

Qualifications: BS in Business Administration with 7 years of Experience

• Ability to communicate with stakeholders at multiple levels with ease, clarity, and transparency such as one-to-one, small group, full staff, email, social media, and of course, listening.
• Ability to understand and derive insights from data. 
• Experience with data manipulation to analyze patterns, anomalies and trends.
• Experience in managing a team with direct responsibility of an IT project delivery or IT operations functionality.
• Experience in IT project delivery or operations or management.
• Experience managing a team in an IT project delivery or operations functionality.
• Experience in IT operations, support, administration, release management and related activities.
• Experience in managing teams to perform against a pre-set Service Level Agreement (SLA) standard using a service management tool such as Remedy, Service Now, Jira, GitHub, Jenkins or Service Desk Express.
• Experience in working in an enterprise environment with mature incident management, change management and problem management processes.
• Creating actionable dashboards, logging, alerting, and responses to ensure that operational issues are captured and addressed proactively.
• Excellent troubleshooting skills with a proven ability to logically work through a problem to its successful resolution.

Qualifications: BS in Computer Science with 6 years of Experience

• Experience in a data engineering, data management, analytics, or data-centric customer-facing role, preferably in a fast-paced startup environment in a health tech, pharma tech, e-commerce, or marketplace business.
• Technical skills including advanced knowledge of spreadsheet tools (Microsoft Excel, Google Sheets), command-line scripting (Bash, ZSH), database languages (MySQL, PostgreSQL, SQL Server), data engineering with open-source languages such as Python (Luigi, Airflow, Pandas, Spark), and general familiarity with cloud-based data processing tools such as AWS Glue and AWS Athena.
• General understanding of how data engineering workflows feed into data visualization software such as Tableau, Qlik, and PowerBI.
• Experience with large ERP or supply chain platforms 
• Experience extracting, transforming, and loading pharmacy data is a plus.
• Experience handling multiple projects while successfully meeting project deadlines and a desire to take on increased responsibilities quickly
• Thrive in fast-paced, dynamic environments and can manage many parallel processes and complex projects at the same time with different timelines, priorities, and stakeholders
• Interested in scaling an organization with a focus on efficient execution
• Ability to prioritize opportunities based on an understanding of the Investor Data team and company needs and strategy
• Strong attention to detail and organizational skills

Qualifications: BA in Data Analytics with 5 years of Experience