InVision Communications

Data Engineer

• Inherit, evaluate, and take full ownership of existing ETL/ELT pipelines — identifying what to preserve, improve, or replace based on performance, reliability, and long-term maintainability.
• Design and build scalable pipeline improvements or net-new solutions where current practices fall short.
• Monitor pipeline health, troubleshoot data quality issues, and proactively resolve performance and reliability problems.
• Manage and evolve orchestration tooling with openness to adopting better alternatives as infrastructure needs grow.
• Optimize query performance, pipeline efficiency, and resource utilization across Convo’s data environment.
• Participate in testing, deployment, and monitoring practices that promote long-term reliability and scalability.
• Develop and maintain scalable data transformation processes, schema design, and data models that support evolving business requirements.
• Establish and evolve data quality testing frameworks - building practices that catch issues early and create lasting internal trust in our data.
• Own data governance, documentation, lineage, version control, and data quality standards across the organization.
• Serve as the primary internal resource for data engineering guidance and recommendations, helping set standards and informing data infrastructure decisions across the organization.
• Work closely with the data analyst to translate business questions into reliable, queryable data structures.
• Educate and guide non-technical stakeholders on how to work effectively with data, what is and isn’t feasible, and how to frame data requests clearly.
• Explore and implement tooling to enable self-service data discovery for internal teams, reducing bottlenecks and empowering stakeholders to answer their own questions.
• Collaborate with Product, Engineering, Finance, Operations, and Data Science stakeholders to support reporting, forecasting, and business intelligence needs.
• Partner with Product and Engineering teams to integrate analytics, event tracking, and reporting into products and platforms.
• Establish and document data engineering standards, workflows, and best practices at Convo — building a foundation that is sustainable, well-understood, and not dependent on any single person.
• Contribute to improvements in data architecture, tooling, monitoring, automation, and engineering best practices.
• Evaluate emerging technologies and tooling to improve efficiency, automation, and accessibility of data systems.
• Maintain clear technical documentation and operational standards that support long-term maintainability.
• Exercise sound technical judgment in balancing immediate business needs with long-term platform sustainability.
• Maintain strong confidentiality and discretion when handling sensitive organizational, financial, operational, and employee data.

Director

• Lead workforce planning strategy across interpreting services, including forecasting, capacity planning, and scheduling frameworks
• Develop forward-looking workforce plans aligned with Service Delivery priorities, hiring strategy, and financial targets
• Apply scenario planning to manage demand variability across multiple service lines
• Ensure workforce plans deliver balanced, realistic schedules that support both service level expectations and interpreter sustainability
• Lead the end-to-end Workforce Management function, including Real-Time Operations, Scheduling, Workforce Optimization, and Workforce Systems
• Ensure seamless coordination between forecasting, scheduling, and real-time execution to support interpreter availability
• Oversee timekeeping, scheduling systems, and break management practices to maintain accuracy, consistency, and operational efficiency
• Establish clear operating rhythms with interpreting operations to ensure alignment, responsiveness, and execution
• Partner with Service Delivery leadership to achieve interpreting service level targets and regulatory requirements
• Align workforce planning practices with expectations established by FCC and CAV
• Monitor workforce-related risks that may impact service levels, response times, or compliance, and drive mitigation strategies
• Provide clear visibility into workforce performance to support leadership decision-making, reporting, and audit readiness
• Define and track workforce performance metrics, including service levels, forecast accuracy, staffing efficiency, and cost alignment
• Analyze trends and perform root cause analysis to identify opportunities for improvement
• Develop and implement sustainable, data-driven solutions that strengthen workforce performance and scalability
• Drive continuous improvement across forecasting, scheduling, and real-time workforce practices
• Lead, coach, and develop Workforce Management leadership across optimization, scheduling, and systems functions
• Build and maintain a high-performing, forward-looking team focused on proactive planning and operational excellence
• Establish clear accountability, performance expectations, and development pathways across the WFM team
• Foster a culture grounded in accountability, transparency, and continuous improvement
• Partner with Service Delivery, Finance, People & Culture, Product, and Data teams to align workforce planning with business needs
• Serve as a strategic advisor to leadership, translating workforce insights into actionable recommendations
• Inform hiring plans, capacity decisions, and operational strategy through data-driven insights
• Ensure alignment between workforce planning, financial planning, and service delivery execution
• Enhance workforce tools, reporting capabilities, and automation in partnership with systems and data teams
• Improve workforce processes to support scalability, efficiency, and consistency
• Ensure data integrity across workforce systems and reporting
• Implement best practices to strengthen workforce operations

Data Engineer

Director of Workforce Management