PRODUCTS DELIVERED:
 

1. FSMA 204-grade traceability operating system (supplier → DC → store, lot and batch first):
   Led the definition and delivery of an end-to-end traceability operating system spanning supplier onboarding, item and master alignment, lot and batch capture, transformation events, and downstream distribution. Structured the system around Critical Tracking Events and Key Data Elements so traceability is captured as work occurs during receiving, processing, and shipping, rather than reconstructed after the fact.
    

2. Event exchange and interoperability layer (B2B traceability as a platform capability):
   Established partner-to-partner event exchange as a platform capability using standards-based identifiers and event semantics, including GS1-style patterns such as GTIN, GLN, SSCC, and EPCIS concepts where applicable. Defined mapping and validation experiences that allow heterogeneous partner systems across ERP, WMS, TMS, and OMS environments to publish and consume events without custom one-off integrations.
    

3. Traceback readiness and recall execution cockpit (operations and compliance parity):
   Led the creation of operational dashboards and investigation tooling supporting rapid traceback. This  included coverage, completeness visibility, latency tracking, event gap detection, chain-of-custody views, lot genealogy, and exception funnels. Paired this with recall execution workflows covering notification, disposition, reverse logistics, store and DC instructions, and regulator-ready evidence packaging.
    

4. Omnichannel operational experiences with audit parity (inventory, commerce, and safety):
   Set experience standards spanning store operations, distribution centers, and customer-facing channels so safety actions do not degrade service. Defined substitution and shortage policies, quarantine and hold workflows, disposition visibility, and service recovery patterns that preserve customer trust while maintaining compliance.
    

5. Data quality as product behavior (not a spreadsheet problem):
   Established capture and validation standards that enforce minimum viable truth at the point of scan, receive, or transform. Defined controlled vocabularies, barcode and label validation, unit-of-measure normalization, timestamp accuracy, location identity, and reason codes so the system prevents non-auditable states instead of reporting them after the fact.

 

ENGINEERING & GOVERNANCE 
 

• CTE and KDE compliance translated into deterministic workflow states:
  Defined traceability workflows as governed state machines with explicit transitions such as received, transformed, shipped, sold, returned, or disposed. Ensured each Critical Tracking Event emits the required Key Data Elements, making compliance measurable and enforceable. Every lot movement either conforms to required data contracts or is blocked or flagged with explicit remediation paths.
   

• Standards-based identity and event contracts enforced through interfaces: 
  Codified integration contracts across the partner ecosystem, including API specifications, event schemas, canonical identifiers, and transformation rules. Established replay-safe event handling and idempotency patterns where applicable so integration success is defined by predictable semantics, deterministic reconciliation, and auditable chain-of-custody.
   

• Measurable governance with enforcement hooks:
  Operationalized governance dashboards tracking KDE completeness, CTE coverage, event latency SLAs, duplicate and conflict rates, and exception backlogs. Enforced quality through validation gates in pipelines and capture points, with automatic routing of exceptions to accountable owners.
   

• Audit readiness by design through immutable logs and controlled change:
  Established immutable audit trails for critical actions such as lot creation, transformation, disposition, quarantine, and recall execution. Defined controlled change mechanisms for master data and mappings, with release gating tied to compliance impact. Produced audit packets as a natural byproduct of operations, capturing what happened, when, where, by whom, and with supporting evidence.
   

• Security and access controls aligned to supply chain reality:
  Set role-based and least-privilege access models across suppliers, carriers, DC and store roles, and corporate compliance teams. Applied PHI-equivalent discipline to sensitive trade data, including pricing, supplier contracts, and volumes, supported by secure logging and minimum-necessary access patterns.

PRODUCT MANAGEMENT & ENABLEMENT
 

• 0→1 build grounded in operational taxonomy, data models, and capture UX:
  Defined the product taxonomy and canonical data model covering items, lots and batches, locations, transformations, shipments, and dispositions. Directed the design of point-of-work capture experiences so compliance occurs at the operational edge without degrading throughput.
   

• 1→n scale: partner onboarding engine + readiness gates:
  Scaled adoption across suppliers and 3PLs using: onboarding kits, mapping guides, validation checklists, reference implementations, sandbox/test harness, and readiness gates (must-hit thresholds for completeness/latency before “go-live”). Built training/comms and a support model to prevent rollout from becoming a permanent fire drill.
   

• Operating model + portfolio governance:
  Established intake/prioritization, decision forums, KPI trees, and release cadences tied to compliance dates, partner readiness, and operational load. Maintained tight RACI across Ops, Compliance, IT, and partner teams so exception ownership is explicit and measurable. 
   

• Long-term roadmap and portfolio strategy:
  Defined and owned a multi-year platform roadmap for traceability, compliance, and operational resilience across grocery and food ecosystems. Sequenced near-term FSMA 204 readiness with long-term capability evolution spanning partner interoperability, real-time event exchange, data quality automation, and recall execution maturity. Thus, ensuring platforms progress from compliance-driven implementations to durable, network-scale operating systems that reduce risk, improve response time, and support sustained growth across suppliers, distribution, and retail.
   

OUTCOMES
 

• Traceability performance: Partner onboarding time ↓ 30–50% · KDE completeness ↑ to >95% on in-scope lots · event latency ↓ (near-real-time for critical nodes) · traceback time ↓ 60–80% (hours/days → minutes/hours for in-scope products). 

• Operational efficiency: Exception rework ↓ 20–40% through validation-at-capture and deterministic reconciliation · fewer “missing event” investigations · reduced manual spreadsheet-based attestations. 

• Audit/recall readiness: Audit packet generation time ↓ 70% · improved recall execution consistency (quarantine/disposition compliance ↑, store/DC instruction adherence ↑) · materially reduced compliance risk from incomplete chain-of-custody.