- Experience developing ETL and ELT processes using Python and AWS Glue.
- Experience developing SQL for Amazon Redshift and relational databases.
- Experience integrating data from REST APIs, databases, cloud platforms, and enterprise applications.
- Experience with AWS analytics services including Redshift, Glue, S3, Athena, and CloudWatch.
- Experience integrating healthcare data using FHIR, HL7 v2, Smile CDR, AWS HealthLake, and healthcare APIs.
- Experience implementing secure data access using IAM, OAuth2/OIDC, and role-based security.
- Strong SQL, data modelling, analytics, and performance optimization experience.
- Experience evaluating AI accuracy, hallucination reduction, grounding, and response quality.
- Experience with Pexip and Zoom APIs and data structures
- Experience with NetIQ IAM APIs and data structures

Location: Hybrid (onsite as needed)

Public Sector Experience: must have

# of submissions/supplier: 1

Job Title

Senior Business Intelligence Specialist for Virtual Products Development

Description

The Agency is expanding the Provincial Health Services Directory (PHSD) to incorporate artificial intelligence capabilities that improve provider discovery, referral quality, and healthcare navigation across provincial digital health applications. The solution will utilize PHSD provider, practitioner, organization, healthcare service, specialty, location, and service metadata together with clinical referral context to provide intelligent recommendations while maintaining traceability to authoritative source data. AI agents will consume PHSD FHIR APIs, Smile CDR, AWS HealthLake, the Agency Master Data Management, and other provincial digital health assets to provide grounded responses rather than generative opinions. The project includes development of reusable AI services, MCP servers, semantic search capabilities, vector-based retrieval, prompt orchestration, evaluation frameworks, and secure integration with SMART on FHIR applications and provincial healthcare systems. The implementation will emphasize explainability, auditability, privacy, security, and clinical confidence while supporting future AI-enabled healthcare workflows across the Agency.

Must Haves

- Senior experience designing and developing enterprise Business Intelligence and analytics solutions.
- Extensive experience developing Power BI dashboards, reports, semantic models, and datasets.
- Experience developing dimensional data warehouses using star and snowflake schemas.
- Experience developing ETL and ELT processes using Python and AWS Glue.
- Experience developing SQL for Amazon Redshift and relational databases.
- Experience integrating data from REST APIs, databases, cloud platforms, and enterprise applications.
- Experience with AWS analytics services including Redshift, Glue, S3, Athena, and CloudWatch.
- Experience integrating healthcare data using FHIR, HL7 v2, Smile CDR, AWS HealthLake, and healthcare APIs.
- Experience implementing secure data access using IAM, OAuth2/OIDC, and role-based security.
- Solid SQL, data modelling, analytics, and performance optimization experience.
- Experience evaluating AI accuracy, hallucination reduction, grounding, and response quality.
- Experience with Pexip and Zoom APIs and data structures




- Experience with NetIQ IAM APIs and data structures
- Experience with AWS Bedrock

Responsibilities

- Design, develop, and maintain enterprise Power BI dashboards supporting operational, executive, clinical, and business reporting.
- Develop AI-assisted dashboards utilizing Power BI Copilot, natural language queries, AI visualizations, forecasting, anomaly detection, and intelligent insights where appropriate.
- Design and implement enterprise data warehouse solutions using Amazon Redshift.
- Develop dimensional star schemas, fact tables, dimension tables, and semantic models supporting enterprise reporting.
- Develop AWS Glue ETL pipelines using Python to ingest, transform, validate, and load data into Amazon Redshift.
- Develop automated data ingestion processes from NetIQ IAM, Pexip, Zoom, Smile CDR, AWS HealthLake, Provider Registry, Master Data Management, PHSD operational databases, application logs, and other provincial digital health assets.
- Develop data quality validation, cleansing, reconciliation, and governance processes supporting analytics accuracy.
- Optimize Redshift performance, partitioning, indexing strategies, query execution, and warehouse scalability.
- Develop operational KPIs, healthcare utilization metrics, provider activity reports, referral analytics, platform adoption reporting, and executive dashboards.
- Collaborate with business stakeholders to gather reporting requirements and develop meaningful analytics solutions.
- Develop deployment pipelines, documentation, operational procedures, and knowledge transfer materials.
- Support production implementation, troubleshooting, report optimization, and ongoing analytics enhancements.

Desired Skills

- Business intelligence solution design, dashboard development, and enterprise reporting using Microsoft Power BI.
- Enterprise data warehouse design including dimensional modelling, star schemas, fact tables, dimension tables, and semantic models.
- ETL and ELT development using Python, AWS Glue, SQL, and Amazon Redshift.
- Advanced SQL development, query optimization, and performance tuning.
- Data integration from REST APIs, FHIR APIs, Smile CDR, AWS HealthLake, NetIQ IAM, Pexip, Zoom, Provider Registry, Master Data Management, and enterprise databases.
- Healthcare analytics using FHIR R4/R4B, HL7 v2, SMART on FHIR, and healthcare interoperability standards.
- AI-assisted analytics including Power BI AI capabilities, natural language insights, forecasting, anomaly detection, and intelligent reporting.
- AWS analytics services including Amazon Redshift, AWS Glue, S3, Athena, IAM, CloudWatch, and related cloud services.
- Python Glue shell experience
- Experience with Pexip and Zoom APIs, extracting data for analytics
- Data quality management, governance, reconciliation, validation, and operational reporting.
- Strong analytical, communication, documentation, stakeholder engagement, and knowledge transfer skills.





Required Skills

- Business intelligence solution design, dashboard development, and enterprise reporting using Microsoft Power BI.
- Enterprise data warehouse design including dimensional modelling, star schemas, fact tables, dimension tables, and semantic models.
- ETL and ELT development using Python, AWS Glue, SQL, and Amazon Redshift.
- Advanced SQL development, query optimization, and performance tuning.
- Data integration from REST APIs, FHIR APIs, Smile CDR, AWS HealthLake, NetIQ IAM, Pexip, Zoom, Provider Registry, Master Data Management, and enterprise databases.
- Healthcare analytics using FHIR R4/R4B, HL7 v2, SMART on FHIR, and healthcare interoperability standards.
- AI-assisted analytics including Power BI AI capabilities, natural language insights, forecasting, anomaly detection, and intelligent reporting.
- AWS analytics services including Amazon Redshift, AWS Glue, S3, Athena, IAM, CloudWatch, and related cloud services.
- Data quality management, governance, reconciliation, validation, and operational reporting.
- Strong analytical, communication, documentation, stakeholder engagement, and knowledge transfer skills.

Evaluation Criteria

- Business intelligence, dashboard development, Power BI reporting, semantic models, executive reporting, KPI development, and AI-assisted analytics experience. 25 Points
- Enterprise data engineering experience including Amazon Redshift, AWS Glue, Python, SQL, dimensional modelling, ETL/ELT development, and enterprise data warehouse design. 25 Points
- Healthcare analytics and interoperability experience including Smile CDR, AWS HealthLake, FHIR R4/R4B, HL7 v2, NetIQ IAM, Pexip, Zoom, healthcare APIs, and enterprise healthcare data integration. 25 Points
- Experience working with digital health assets including PHSD, Hospital Report Manager (HRM), Enterprise Master Data Management, stakeholder engagement, documentation, and knowledge transfer. 25 Points

Total: 100 Points

- Enterprise Power BI dashboards supporting operational, executive, clinical, and business reporting.
- AI-assisted Power BI reports incorporating natural language insights, forecasting, anomaly detection, KPI analysis, and interactive analytics where appropriate.
- Amazon Redshift enterprise data warehouse including dimensional models, star schemas, fact tables, dimension tables, views, and semantic models.
- AWS Glue ETL pipelines developed using Python for automated ingestion, transformation, validation, and loading of enterprise data.
- Automated data extraction processes from NetIQ IAM, Pexip, Zoom, Smile CDR, AWS HealthLake, PHSD operational databases, Provider Registry, Master Data Management, application logs, and other approved data sources.
- Enterprise data quality validation, reconciliation, governance, and monitoring processes.
- Operational dashboards supporting platform utilization, provider activity, referral analytics, system performance, user adoption, and executive reporting.
- Documentation for data models, ETL processes, report definitions, data lineage, metadata, operational procedures, and deployment processes.
- Automated deployment pipelines, testing procedures, production implementation support, and operational transition documentation.

📌 Business Intelligence Specialist (Toronto)
🏢 ThoughtStorm
📍 Toronto