Senior Technical/Digital Product Manager Candidate

Sana Khan Data AI/ML Product Leader

Strategic AI Product Manager with 7+ years leading Data and AI/ML product development across Telecom, FinTech, Pharma, and Healthcare. Proven track record delivering $2M+ in annual savings and 70% workflow automation through scalable AI solutions. PSPO II certified with expertise in regulated environments.

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7+
Years in Tech
$2M+
Annual Cost Savings
70%
Workflow Automation
PSPO II
Certified Product Owner

Data and AI Product Leader

Strategic AI Product Manager with expertise in regulated environments including Pharma (cGMP, HIPAA), Telecom and FinTech. Combines deep technical expertise in Generative AI, MLOps, and data engineering with strong product leadership from vision and roadmapping through stakeholder alignment, Agile execution, and post-launch governance.

Passionate about driving AI adoption that is ethical, impactful, and aligned with business goals. Proven ability to translate complex challenges into scalable AI solutions that deliver measurable outcomes. Comfortable wearing multiple hats, moving fast, and building from zero-to-one in dynamic environments.

Core focus areas: Cost optimization, supply chain analytics, risk & compliance (HIPAA, GDPR, cGMP), financial modeling, and AI governance. Experience with enterprise data products serving 1200+ users and implementing resource allocation frameworks.

Generative AI LLMs & RAG Agentic AI MLOps Data Engineering Python & SQL GCP & AWS Apache Airflow Kafka Financial Modeling ROI Analysis HIPAA/GDPR cGMP Compliance Agile/Scrum PSPO II
sana~ /ai-product-management
# Healthcare AI Product Strategy

$ analyze_healthcare_data --compliance HIPAA
→ Data governance implemented, PII secured

$ build_llm_pipeline --domain "clinical_docs" \
  --vector-db Milvus --llm PaLM2
→ 70% document processing automated

$ optimize_costs --team FinOps --cloud GCP
→ $2M annual compute savings achieved

$ deploy_agentic_workflow --tool LangGraph
→ Multi-agent system live, 60% manual oversight reduced

# Results: Faster decisions, lower costs, compliance assured

Data & Analytics Engineering

Enterprise data solutions with healthcare-grade compliance and governance.

AI/ML Product Leadership

Generative AI and Agentic solutions delivering measurable business impact.

Generative AI

Agentic AI Document Processor

Automated 70% of real-estate document processing using Agentic AI with Milvus for vector-based retrieval and LangGraph for orchestrating multi-agent workflows across financial, legal, and real estate teams. 150+ user stories backlog automated.

Python LangGraph Milvus FastAPI Multi-Agent Systems Docker
// Multi-Agent Document Processing — Results

processing_time: 4-6 hrs → 12 min (95% reduction)
automation_rate: 0% → 70% automated
extraction_accuracy: 88% → 94%
backlog_reduction: 15040 user stories

langgraph_workflow.py
4 agents | Milvus vector retrieval | LangGraph orchestration
AI/ML Infrastructure

$500 data usage alert automation with n8n

Intelligent telecom usage monitoring system using LLaMA 3.1 70B to make context-aware blocking decisions for $500+ data overages. The AI agent analyzes customer tier, payment history, and usage patterns to handle VIP exceptions and edge cases, achieving 94% accuracy while maintaining data sovereignty through on-premise deployment. Reduced manual review by 75% with sub-30 second decision latency.

LLaMA 3.1 70B vLLM Python Kafka n8n BigQuery Docker
// Projections of AI Decision Agent — Production Metrics

decision_latency: 48-72 hrs → <30 sec (99.9% faster)
manual_review: 82 hrs/day (75% reduction)
ai_accuracy: 94% vs human reviewers
vip_satisfaction: 6.28.9/10 (43% increase)
cost_savings: $256K over 3 years (vs cloud AI)

LLaMA_Decision_Agent.py
Context enrichment: CRM + Billing + Support
Decisions: BLOCK | ALLOW_EXCEPTION | ESCALATE | GRACE_PERIOD
Generative AI • Data Governance

PaLM2 based Data Classifier

Architected and deployed Vertex AI-based data quality pipeline using fine-tuned PaLM 2 to automatically profile, classify, and tag sensitive fields (PII/HSPII) across streaming and batch datasets. Reduced manual data governance effort by 80% while achieving 95%+ classification accuracy with automated DLP masking policies.

Vertex AI PaLM 2 Fine-tuning Cloud DLP Apache Beam/Dataflow Dataplex BigQuery
// PII/HSPII Classifier — Pipeline Metrics

fields_classified: 50,000+ across datasets
accuracy: 95%+ (HSPII/PII)
classification_latency: <500ms per field
manual_effort_reduction: 80%
masking_throughput: 100K+ events/sec

Classification_Architecture.drawio
Impact: GDPR/HIPAA compliance automation

Professional Journey

Progressive leadership in AI/ML product management across regulated industries.

Bell Canada — Product Owner - AI/Data Engineering
Jan 2025 – Present · Telecom · Canada
  • Led strategy of real-time operational dashboards in MicroStrategy to monitor high-risk triggers with n8n workflows for automated alerting
  • Defined GTM strategy across 5 enterprise Data Products serving 1200+ users, implementing resource allocation framework and cloud optimization
  • Established product vision, user stories, and roadmap aligned with financial, legal, and real-estate teams' needs
  • Managed backlog of 150+ user stories for Agentic AI solutions leveraging Milvus and LangGraph

Key achievement: Delivered $2M in annual compute cost savings for FinOps team through cloud optimization and resource allocation framework.

Bell Canada — Scrum Master - AI/Data Engineering
July 2024 – Dec 2024 · Telecom · Canada
  • Facilitated Agile Ceremonies for 3 concurrent squads delivering internal GenAI-powered chatbot
  • Maintained 94% sprint commitment achievement rate and consistent team velocity
  • Guided Agile pods (3 squads, 20+ members) on AI/ML best practices and agile methodologies
  • Introduced AI powered Jira board automation that reduced manual KPI tracking efforts by 30%
Bell Canada — Data Engineer
Jan 2023 – July 2024 · Telecom · Canada
  • Architected and deployed Vertex AI-based data quality pipeline using fine-tuned LLMs (PaLM 2) for PII/HSPII classification
  • Built and managed 100+ Apache Airflow DAGs on GCP to automate data workflows with integrated monitoring
  • Engineered real-time Kafka streaming pipelines in Python integrated with ELK stack
  • Migrated data from on-prem Hadoop to GCP BigQuery with HIPAA compliance and metadata cataloging
Vector Institute for AI — AI Education Associate
Sept 2022 – Dec 2022 · AI Research · Canada
  • Designed and delivered Machine Learning training programs for FastLane startup initiative
  • Covered courses: Deep Learning, Project Management with AI, and responsible AI governance
Amazon — Senior Program Associate
July 2021 – Dec 2021 · FinTech · India
  • Supported product and business leaders through customer analytics and market insights
  • Implemented NLP-based sentiment analysis on app reviews using Python for data-driven decisions
Bhopal Glues and Chemicals — Business Analyst
Apr 2019 – June 2021 · Pharmaceutical · India
  • Reduced FDA audit prep by 30% ensuring cGMP/GCP/GDP compliance via ERP implementations
  • Developed financial models and ROI analysis identifying cost-saving opportunities using SQL and Excel
  • Led ERP system implementations for QC workflows with ETL processes and data quality standards

Let's Connect

Interested in AI/ML healthcare solutions, product leadership, or technical collaboration? Reach out.

Email
khan17sana@gmail.com
in
LinkedIn
linkedin.com/in/sankshine
GitHub
github.com/sankshine
📱
Phone
+1 (437) 833-9757