Alimentiv

Data Analyst

• Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders.
• Gather requirements from a cross-functional group to a particular study question or operational activity.
• Build & configure solution to meet the requirements.
• Lead validation activities to prepare reporting solutions for release/usage.
• Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
• Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports.
• Maintain ongoing updates to standard report templates.
• Support training for the Data Sciences team of new standard reports/solutions.
• Deploy standard reporting solutions for use on a study-specific basis.
• Create & develop ad hoc reporting and/or analysis solutions – report, dashboard, visualization, or other – as requested by study team members.
• Gather requirements from study team member(s) for ad hoc solutions.
• Build & configure ad hoc solutions to meet the requirements.
• Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage.
• Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members.
• Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.
• Design, build, and maintain metrics governance within Data Sciences.
• Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership.
• Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies.
• Act as a technical system subject matter expert; perform validation and testing of systems.
• Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence.
• Assess ways to further leverage existing systems to optimize internal efficiencies and processes.
• Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy.
• While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion.

Clinical Data Analyst

• Lead the creation & development of a standard library of reporting and/or analysis solutions for Data Sciences and other stakeholders.
• Gather requirements from a cross-functional group to a particular study question or operational activity.
• Build & configure solution to meet the requirements.
• Lead validation activities to prepare reporting solutions for release/usage.
• Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
• Deploy standard reporting solutions for use on a study-specific basis.
• Create & develop ad hoc reporting and/or analysis solutions – report, dashboard, visualization, or other – as requested by study team members.
• Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.

Business Analyst

• Conducts needs assessments across departments to identify opportunities where AI tools can improve operational efficiency or research outcomes.
• Monitors emerging AI technologies and evaluates their relevance to Alimentiv's operational context.
• Develops roadmaps that align AI opportunities with organizational priorities and realistic implementation timelines.
• Synthesizes industry trends into actionable recommendations tailored to Alimentiv's business environment.
• Evaluates AI platforms and tools against defined use cases, documenting findings in structured assessments.
• Develops lightweight solution prototypes to validate feasibility before full implementation is pursued.
• Prepares business cases that articulate the value and feasibility of proposed AI initiatives for non-technical stakeholders.
• Designs and delivers structured training programs that build AI proficiency across diverse teams and skill levels.
• Produces plain-language reference materials, guides, and job aids that support independent tool use.
• Facilitates workshops and demonstrations that connect AI capabilities to team-specific workflows.
• Provides hands-on support during tool rollouts to accelerate user proficiency and resolve adoption barriers.
• Identifies and addresses adoption obstacles through targeted follow-up and adjusted delivery approaches.
• Establishes communities of practice to enable peer learning and sustained engagement with AI tools.
• Monitors usage data and initiates proactive outreach where additional training or support is indicated.
• Designs and builds proof-of-concept AI solutions that demonstrate practical value to specific business functions.
• Develops working prototypes using no-code and low-code AI platforms to illustrate how AI can be applied to real operational challenges.
• Presents and demonstrates prototype solutions to stakeholders, translating outputs into clear business value.
• Builds demonstrations and prototypes using no-code and low-code AI platforms; production development and system integration remain the responsibility of technical IT and development teams.
• Gathers departmental requirements and communicates them to technical teams in plain language.
• Coordinates cross-functional stakeholders to ensure AI tool configurations align with operational workflows.
• Develops standard operating procedures that integrate AI tools into established team workflows.
• Establishes success metrics that capture both adoption rates and measurable business impact.
• Analyzes usage and performance data to assess initiative effectiveness and identify areas for improvement.
• Prepares reports that communicate AI initiative outcomes clearly to leadership audiences.
• Conducts post-implementation reviews to capture lessons learned and apply findings to future rollouts.

Business Analyst Specialist

Manager

• Lead the day-to-day delivery of Clinical Monitoring capability
• Oversee resource planning, performance management, and compliance
• Ensure quality and integrity of clinical work
• Act as a trusted representative of clinical monitoring and project teams throughout the study lifecycle
• Shape policies and strengthen processes for the monitoring function

Manager, Monitoring & Site Management

Director

• Responsible to plan, manage, organize, evaluate and/or report on the day delivery of the Clinical Monitoring unit (Clinical Operations Leads).
• Role includes policy and process development and improvement, product quality, site and compliance monitoring, staff resource planning, and staff and contractor performance management.
• Provide support, expertise and represent project and clinical monitoring teams with sponsors/researchers throughout the project life cycle.
• Ensure all team members, including third party providers, deliver high quality, timely service and maintain service delivery processes in accordance with corporate and industry best practices and that meet all regulatory requirements and guidelines.

Alimentiv

Clinical Data Analyst

Clinical Data Analyst

Business Analyst Specialist

Manager, Monitoring & Site Management

Director – Monitoring & Site Management

Director, Monitoring – Site Management