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Technical Program Manager - MLOps, Data Governance
Technical Program Manager - MLOps, Data GovernanceAstra North Infoteck Inc. • Toronto, ON, ca
Technical Program Manager - MLOps, Data Governance

Technical Program Manager - MLOps, Data Governance

Astra North Infoteck Inc. • Toronto, ON, ca
12 days ago
Job type
  • Full-time
Job description

Work Mode : Hybrid (2 days per week in-person at Toronto office preferred)

Skills required :

  • 10–12 years in technical program / project management with at least 3–5 years in data platforms and AI / ML operations.
  • Strong understanding of data architectures (lake / lakehouse, warehouse, streaming), data governance, and MLOps / ModelOps concepts.
  • MLOps / AI : Azure ML, SageMaker, Vertex AI; MLflow, model registry, feature stores, drift / fairness / explainability tools.
  • Data Governance : Purview, Collibra, Alation; data lineage, cataloging, DQ tooling.
  • Orchestration and CI / CD : Airflow, Prefect, dbt; GitHub Actions / Azure DevOps / Jenkins; Terraform / Bicep / CloudFormation.
  • Monitoring / Observability : Prometheus / Grafana, cloud-native monitors, logging, data quality monitors, model monitoring.
  • Cloud & Data : Azure (Synapse, Fabric), AWS (S3 / Glue / Redshift), GCP (BigQuery / Dataflow), Databricks, Snowflake.
  • Proven experience embedding security / privacy-by-design and RAI principles into delivery and ops.
  • Excellent stakeholder management, vendor management, and executive communication skills.

Roles and responsibilities

  • Program Delivery Leadership
  • Own end-to-end delivery of data platform and AI / ML operational initiatives discovery design implementation hypercare steady-state operations.
  • Maintain multi-quarter roadmap, backlog and release trains (Scrum, Kanban, SAFe), run standups, PI planning, demos and retros.
  • Manage dependencies across data ingestion, storage processing, cataloging, lineage, access, MLOps pipelines and app integrations.
  • Orchestrate cross-functional squads.
  • Data Engineering, Platform SRE, Security, Risk, Legal and Business to deliver secure, governed and compliant data capabilities and AI services at scale.
  • Own roadmaps, delivery governance, risk controls, release management and post-production reliability for data, AI workloads and ensuring Responsible AI principles are codified into day-to-day operations.
  • Platform Technical Ownership
  • Partner with Platform Engineering
  • SRE to evolve the data platform reference architecture.
  • Drive integration and operationalization of MLOps and Model Ops practices.
  • Oversee environment strategy (dev test stage prod), IaC-driven provisioning, cost guardrails and performance SLAs.
  • Responsible AI Data Governance.
  • Embed Responsible AI guardrails into SDLC and runtime model cards, fairness bias checks, explainability, human-in-the-loop, monitoring drift and incident response.
  • Operationalize data governance meta data catalog, lineage, PII classification, DLP, RBAC (Role-Based Access Control), ABAC (Attribute-Based Access Control), data quality SLAs, retention deletion schedules.
  • Align with privacy, security and regulatory frameworks (e.g. privacy laws, model risk management and AI assurance frameworks).
  • Risk and Compliance Controls
  • Maintain risk register, control library, audit trail, approvals and evidence for releases and model lifecycle events.
  • Run change advisory (CAB) workflows for platform and model changes ensure traceability from requirements to deployment and monitoring.
  • Stakeholder Management Communication.
  • Translate business outcomes into measurable platform and AI service capabilities, SLIs and SLOs.
  • Provide executive-level status (OKRs, KPIs, burn-up down, RAID, budget vs. actuals)
  • Certifications (nice-to-have) :

  • PMP / Prince2, CSM / SAFe, Azure / AWS / GCP data / AI, Databricks / Snowflake, Governance / Privacy.
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    Technical Program Manager MLOps Data Governance • Toronto, ON, ca

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