Data & AI Product Development Expert
NHC Innovation · Saudi Arabia
Overview
The job holder is responsible for providing subject matter expertise in the development and productization of Data and AI solutions, translating strategic priorities into market-ready products and services. The role supports the definition of product standards, commercial models, customer propositions, and go-to-market requirements, while working closely with technical and business stakeholders to ensure product readiness, usability, adoption, and sustainable value realization across NHCI.
Key Responsibilities
- Translate Data & AI strategic priorities into clearly defined product development and productization requirements aligned with NHCI’s business objectives.
- Define and enhance Data & AI productization standards covering service interfaces, configuration requirements, documentation, support models, versioning, and release practices.
- Provide expertise on the conversion of Data and AI models, capabilities, and solutions into scalable and commercially viable products and services.
- Assess market trends, customer needs, competitive offerings, and emerging use cases to identify and prioritize Data & AI product opportunities.
- Evaluate demand signals from NHCI stakeholders, customers, and partners and translate them into structured product requirements and development priorities.
- Develop product concepts and value propositions that clearly articulate target users, use cases, customer benefits, differentiation, and expected value.
- Define product requirements and functional specifications in collaboration with Data, AI, Technology, Engineering, and relevant business stakeholders.
- Support the development of business cases for Data & AI products by assessing market potential, expected benefits, costs, risks, time-to-value, and commercial viability.
- Provide input into pricing and monetization strategies, including subscription, usage-based, tiered, and other applicable commercial models.
- Define product packaging requirements, including SKUs, entitlements, service levels, support tiers, and applicable commercial terms.
- Coordinate with technical teams to validate data availability, model readiness, quality assurance, integration requirements, scalability, security, and overall product readiness.
- Oversee the translation of Data and AI capabilities into customer-ready product experiences, including APIs, SDKs, configuration templates, documentation, sample notebooks, and other enablement assets.
- Support the design and enhancement of user-facing applications and digital experiences that enable customers to access and consume Data & AI products effectively.
- Ensure product interfaces and customer journeys provide a consistent, intuitive, and fit-for-purpose user experience.
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Software Engineering, or any related field is required
- 9 years of relevant experience
- Pragmatic PMC, AIPMM CPM/NPDP, SAFe POPM, ITIL 4 Foundation, AWS ML Specialty, Azure DP-203, Google Professional Data Engineer, or CPP (PPS) are optional
Qualifications & Requirements
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Software Engineering, or any related field is required
- 9 years of relevant experience
- Pragmatic PMC, AIPMM CPM/NPDP, SAFe POPM, ITIL 4 Foundation, AWS ML Specialty, Azure DP-203, Google Professional Data Engineer, or CPP (PPS) are optional
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