Product Owner – Traceability

Job Description

Title: Product Owner – Traceability

Company Name: Indetechs Software Limited.

Vacancy: 1

Age: At least 28 years

Job Location: Anywhere in Bangladesh

Salary: Negotiable

Experience:

• 4 to 8 years
• The applicants should have experience in the following business area(s): Software Company

• Bachelor of Science (BSc)
• Bachelor in Engineering (BEngg)

Certifications: CSPO, PMI-PBA, SAFe PO/PM, or ICAgile Product Management (preferred), GS1 or supply chain traceability certifications.

• 4 to 8 years
• The applicants should have experience in the following business area(s): Software Company

• Age At least 28 years

Role Summary

This role leads the strategy, design, and delivery of enterprise traceability solutions underpinning DigiProdPass’s Digital Product Passport platform and supply chain visibility offering.

The Product Owner – Traceability owns the traceability capability, delivering robust, scalable, and standards-compliant traceability data that feeds the DPP product layer. The role works in partnership with the Product Owner – DPP: traceability capability ownership sits here; DPP product ownership sits with the DPP PO. The ideal candidate brings hands-on knowledge of supply chain traceability, serialisation, event capture, and interoperability standards (GS1, EPCIS, Digital Link), and familiarity with where AI and automation apply to traceability platforms.

Key Responsibilities

Product Strategy & Ownership

● Own and execute the product roadmap for the traceability capability, aligned with DigiProdPass platform strategy.

● Define the vision for end-to-end supply chain transparency and product lifecycle data capture.

● Prioritise the backlog by business value, customer need, and regulatory requirements.

● Translate traceability requirements into product features, user stories, and acceptance criteria.

● Lead sprint planning, backlog refinement, and release planning.

● Present roadmap updates and product demonstrations to stakeholders and leadership.

Traceability Solution Management

● Design end-to-end traceability models across suppliers, manufacturers, logistics providers, distributors, retailers, and recyclers.

● Define product identity, serialisation, batch tracking, lot genealogy, and event capture mechanisms.

● Ensure complete traceability from raw material sourcing through production, distribution, usage, and end-of-life.

● Enable real-time supply chain visibility and provenance verification for enterprise customers.

● Model product recall readiness, audit defence, and Scope 3 emissions tracking as first-class traceability use cases.

● Build scalable traceability frameworks that support multiple industries and regulatory contexts.

Cross-PO Collaboration & Platform Integration

● Partner with the Product Owner – DPP to align traceability data structures and event models with DPP output requirements.

● Maintain a shared data model and API contract between the two capabilities, reviewed each sprint.

● Run joint backlog refinement sessions to surface cross-capability dependencies and sequence delivery.

● Escalate roadmap conflicts or integration risks to the Head of Product; operate with a platform-first mindset.

● Co-own integration documentation, data lineage definitions, and traceability-to-DPP mapping specifications.

Compliance & Regulatory Support

● Ensure traceability event data, serialisation records, and supply chain documentation meet audit and regulatory reporting requirements.

● Work with the DPP PO and legal/compliance teams to translate evolving regulatory obligations into traceability data requirements.

● Maintain audit readiness with complete, versioned digital traceability records.

● Track EU ESPR, Battery Regulation, and circular economy directives for their traceability data implications.

Data Governance & Interoperability

● Define traceability data requirements and contribute to the shared governance model alongside the DPP PO and engineering.

● Maintain interoperability between traceability systems and ERP, MES, PLM, IoT platforms, and external partners.

● Drive adoption of GS1 identifiers, EPCIS 2.0, Digital Link, JSON-LD, and API-first architecture.

● Define data quality, lineage, ownership, retention, and access control requirements for traceability records.

● Support secure data exchange within federated and partner ecosystems. Customer Discovery & Validation

● Lead customer discovery through structured interviews with manufacturers, suppliers, and logistics operators to surface traceability pain points.

● Apply jobs-to-be-done methodology and evidence-based prioritisation, grounding the roadmap in validated customer need.

● Validate requirements with customer stakeholders and technical teams before committing to delivery. Partner & Ecosystem Integration

● Define integration requirements and API contracts for enterprise ERP (SAP, Oracle), MES, IoT, and logistics platforms.

● Work with customers and integration partners to co-develop and validate integration approaches.

● Manage requirements for third-party data-sharing agreements and partner onboarding.

● Support pre-sales and RFQ responses with capability definitions, integration scope, and technical constraints.

Documentation & Product Governance

Prepare and maintain:

● PRDs, BRDs, and Functional Specifications

● Traceability Data Models and API Specifications

● Process Flow and BPMN Swimlane Diagrams

● User Stories, Acceptance Criteria, and Release Notes

● Traceability-to-DPP Integration Mapping Documents

Keep requirements, features, tasks, test cases, and delivered functionality linked end-to-end. All documentation must be version-controlled and accessible.

Cross-functional Leadership

● Serve as the primary liaison between business, engineering, compliance, and external ecosystem partners for the traceability capability.

● Work with architects on scalable, standards-compliant traceability solutions.

● Participate in joint planning and review ceremonies with the DPP PO workstream.

Required Skills & Competencies

Product Management

● Proven experience managing enterprise software products in a SaaS or platform context.

● Expertise in Agile/Scrum: sprint planning, backlog refinement, and release management.

● Experience defining product strategy and multi-quarter roadmaps.

● Customer-centric thinking grounded in validated discovery, not assumption.

● Operates effectively as a PO within a multi-PO organisation, managing lateral dependencies and shared backlogs.

Traceability & Supply Chain

● Strong understanding of supply chain processes and product lifecycle management.

● Hands-on experience with serialisation, batch tracking, lot genealogy, and event capture.

● Familiarity with supply chain risk scenarios: product recalls, audit defence, and Scope 3 obligations.

● Experience designing end-to-end traceability solutions for manufacturing, logistics, or retail.

● Working knowledge of Digital Product Passport concepts sufficient to define traceability data that feeds DPP requirements.

Technical Skills

● Strong understanding of SDLC and system architecture.

● REST APIs, event-driven integrations, and webhook-based architectures.

● Data modelling, SQL fundamentals, and cloud-based SaaS platform concepts.

● Experience with Jira or equivalent tools.

● Familiarity with ERP/MES integration patterns at an architectural level.

Standards & Interoperability

Experience with one or more of: GS1 Standards, EPCIS 2.0, Digital Link, Data Spaces, JSON-LD, Open APIs, Master Data Management (MDM).

AI & Intelligent Automation

● Knowledge of ML and AI applications in traceability: anomaly detection, non-compliance flagging, data quality scoring, and pattern recognition across serialisation events.

● Defines AI-assisted features and writes acceptance criteria for probabilistic outputs, including confidence thresholds and fallback behaviours.

● Familiarity with LLM-based interfaces for traceability data: natural language querying of supply chain events, AI-generated compliance summaries.

● Applies responsible AI principles to supply chain data: explainability, data provenance, and cross-partner privacy.

● Uses AI tools to accelerate product work: requirements drafting, discovery synthesis, competitive analysis.

Business, Analytical & Communication Skills

● Translates supply chain challenges into scalable digital product features; strong analytical and problem-solving ability.

● Strong stakeholder management across technical, commercial, and regulatory audiences.

● Evidence-based prioritisation — defends roadmap decisions with customer research, usage signals, and commercial context.

● Strategic thinking with execution focus; moves fluently between product vision and sprint - level detail.

● Clear, confident communicator across executive, customer, and technical audiences.

● Manages ambiguity and drives clarity in greenfield product development.

● Collaborative by default — builds a productive, low-friction relationship with the peer DPP PO on an integrated platform.