Hamdard Nagar Delhi Delhi Certified medical Jobs – 117 Open Jobs Today

Senior Product Owner, Digital Architecture, APAC
Boston Scientific —Gurugram, Haryana
- Machine learning
- Product management
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Senior Product Owner, Digital Architecture, APAC

Boston Scientific -
Gurugram, Haryana

Apply Now

Job details

Qualifications

Data modelling
Data structures
Machine learning
Data management
Product management
Agile
Predictive analytics
IT
Metadata
AI
Master data management
Analytics

Full job description

Note: This position requires to be based in one of the location Taiwan or India (Gurgaon). Remote working is not preferred.

Purpose Statement

The Senior Product Owner, Digital Experience, APAC based in either Taiwan or India (Gurgaon) sits under the Digital Experience team is responsible for leading the strategy and delivery of data and metadata architecture across the AP region. Reporting to the Head of Digital Experience, this role ensures data is governed, reliable, and flows seamlessly across CRM, analytics, and enterprise platforms, and drives the evolution toward AI-ready metadata frameworks to support advanced analytics, predictive modelling, and intelligent automation. Working closely with Commercial, Data & Analytics, and IT teams, this role drives the standardization of master data and builds scalable structures that enable consistent reporting, better visibility, and stronger AI-powered insights across APAC.

Responsibilities:

Product Ownership & Digital Architectural Roadmap

Own and prioritize the APAC Master Data and Metadata product backlog and roadmap aligned to the regional digital architecture strategy.
Translate commercial data strategy into clear user stories and scalable architectural design requirements.
Deliver scalable data products (e.g. master data management tool, analytical tool) that integrate seamlessly into digital workflows.
Ensure architectural consistency, usability, and interoperability across APAC markets.

Master Data & Governance

Act as the Product Owner for designated commercial master data domains.
Define golden record logic, hierarchies, survivorship rules, reference models, and cross-system data standards.
Establish and maintain canonical data definitions and domain boundaries across platforms.
Embed governance, stewardship, security, privacy, and control mechanisms into system and workflow design.
Ensure master data structures support cross-platform integration and downstream analytics scalability.

AI-Ready Metadata & Analytics Enable

Ensure datasets are architected, structured, documented, and standardized for advanced analytics and AI use.
Drive semantic layer consistency, governed KPI definitions, lineage transparency, feature definitions, and data contracts across systems.
Partner with data engineering, analytics, IT, commercial, and finance teams to ensure interoperability between source systems and model-ready data layers.
Define structural requirements for AI-ready data products to support predictive modeling, automation, and insight generation.

Stakeholder Alignment & Adoption

Act as the primary liaison between business stakeholders and engineering teams to ensure architectural decisions align with business priorities.
Lead prioritization across APAC markets based on architectural impact, business value, and risk mitigation.
Define measurable KPIs and drive adoption, usage monitoring, and continuous improvement of data capabilities across digital platforms.

Risk & Compliance

Ensure compliance with enterprise data governance standards and regional privacy regulations.
Proactively manage data quality risks, cross-platform dependencies, and structural inconsistencies.
Safeguard architectural integrity by embedding governance standards into digital workflows to reduce downstream risk and technical debt.
Identify architectural gaps and recommend structural improvements to enhance scalability and resilience.

Job Requirements:

Require at least 6+ years in Product Ownership, Data Product Management, or digital platforms; Certified Scrum Product Owner.
Prior or current experience in environments building or deploying AI solutions (e.g. AI agents)
Strong background in master data management, data modeling, and governance, including metadata and semantic layers
Good understanding of data structures supporting analytics and AI/ML use cases
Proven ability to manage data products with clear prioritization and business impact
Strong systems thinking across data, analytics, and digital workflows
Able to simplify complex data concepts into clear business insights
Strong stakeholder management across Commercial, Data & Analytics, and IT
Experience driving adoption and change across markets

Requisition ID: 626921

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Apply Now

Refine Your Search

certified medical jobs in hamdard nagar delhi delhi

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