Responsibilities:
Product Strategy & Roadmap

• Define and maintain the product vision and roadmap for selected digital mental health and AI-enabled initiatives.
• Translate strategic objectives into prioritised backlogs, epics, and user stories with clear acceptance criteria.
• Continuously review and refine the roadmap based on data insights, user feedback, and system constraints.

AI Product Design & Governance

• Define use cases for AI-enabled features (e.g., co-pilots, triage support, recommendation engines) grounded in clear problem statements and measurable outcomes.
• Work with data science and engineering teams to translate model capabilities and limitations into safe, usable product features.
• Embed human-in-the-loop safeguards, escalation logic, explainability elements, and UX disclosures into product design.
• Define model evaluation metrics (e.g., precision/recall, latency, response quality benchmarks) and acceptance thresholds before deployment.
• Oversee responsible AI governance, including bias assessment, data provenance, auditability, and monitoring for model drift.

Delivery & Cross-Functional Coordination

• Lead sprint planning, backlog refinement, and prioritisation with engineering, data science, UX, and operations teams.
• Develop detailed product requirements documents (PRDs), including data flows, edge cases, risk scenarios, and non-functional requirements.
• Ensure alignment across frontend, backend, analytics, and machine learning components.
• Coordinate UAT, stakeholder reviews, and release readiness sign-offs.

Data, Metrics & Impact Tracking

• Define operational KPIs (e.g., engagement, completion rates, workflow efficiency, response times, escalation accuracy).
• Work with analytics teams to measure user behaviour and AI system performance.
• Interpret data to guide iterations, feature sunsetting, or scaling decisions.
• Ensure product decisions are evidence-informed and evaluation-ready.

Documentation, Risk & Transition

• Maintain comprehensive documentation of product requirements, workflows, system dependencies, and governance controls.
• Prepare knowledge-transfer materials to support long-term sustainability and ownership transitions.
• Identify operational, clinical, and reputational risks for AI-enabled features and implement mitigation plans.
• Support audit, compliance, and security review processes.

User Research & Validation

• Conduct user research across help-seekers, counsellors, clinicians, and administrators to validate needs and usability.
• Design and oversee pilots and controlled rollouts of new AI-enabled capabilities.
• Translate qualitative and quantitative findings into actionable product improvements.
• Ensure continuous feedback loops throughout the product lifecycle.
• Coordinate with research partners to run evaluation studies of deployed systems.

Additional Responsibilities

• Perform other ad-hoc tasks related to the ongoing development, evaluation, scaling, and responsible deployment of digital mental health and AI-enabled innovations.

Requirement:

• Bachelor's degree in Computer Science, Engineering, Psychology, Public Health, Business, or a related field.
• Minimum 2+ years of experience in product management, digital product development, AI/ML product work, or related roles.
• Ability to translate complex AI/technical concepts into user-centred product requirements.
• Understanding of AI/ML concepts, evaluation metrics, and responsible AI principles.
• Experience working with cross-functional teams in an agile environment.
• Ability to manage multiple workstreams and priorities within fast-paced environments.
• Good to have experience in healthcare, mental health, or regulated environments.
  

Rupa Kankariya EA License No. 02C3423 Personnel Registration No. R1441955

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