Director, Product Management

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• Bengaluru, India
• Project / Program Management
• No
• Regular Full-Time
• 2811
  
  

Emmes Global

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Overview

Job Description

OptymEdge, a Veridix company within the Emmes Group, is transforming ophthalmology clinical development by digitizing manual processes and data collection into streamlined workflows. Through our Acuvera platform, we leverage technology to build innovative data products that drive efficiency and insight. The Director, Product Management OptymEdge will define and drive the strategy, vision, and execution of a large-scale, cloud-native platform that integrates with external systems and powers data-driven innovation in clinical development. This role leads a team of Product owners, fostering cross-functional alignment, and partnering closely with Engineering, Data, AI/ML, and Business stakeholders to deliver scalable, secure, and high-performing solutions.

The job holder combines strategic thinking with hands-on leadership, owning the full product lifecycle from ideation to launch and growth. The Director, Product Management OptymEdgee will shape architecture decisions, manage budgets and resources, and ensure products meet rigorous technical and compliance standards.

Responsibilities

• Strategy & Vision:Define and own multi-year product strategy and technical roadmap for a large-scale, cloud-native platform with integrations and interfaces with external platforms. Represent Product in executive reviews, roadmap discussions, and key stakeholder engagements.
• Leadership & Mentorship:Manage, coach, and develop a team of Product Owners/Managers, fostering a culture of innovation and accountability. Lead execution across multiple product teams, managing dependencies and delivery across releases.
• Cross-Functional Alignment:Collaborate with Engineering, Clinical, Delivery, Commercial, and other departments to ensure product success. Partner with Engineering leadership to drive architecture decisions and trade-offs across scalability, reliability, performance, security, and cost. Serve as the primary product partner to Business, Engineering, Data, AI/ML, Security, and Infrastructure teams.
• Stakeholder Communication: Communicate product plans, progress, and results to executive leadership and stakeholders.
• Product Lifecycle Management:Own the product lifecycle from ideation through launch, growth, and end-of-life. Translate ambiguous product and business problems into clear technical product requirements, system-level designs, and execution plans. Ensure product requirements address non-functional requirements, including availability, latency, observability, data integrity, and compliance. Review and influence technical design documents, RFCs, and architecture proposals.
• Market & Customer Focus: Oversee market research, competitive analysis, and customer feedback to identify opportunities.
• Budget & Resource Management: Manage product budgets and resource allocation for development, marketing, and operations.
• Data-Driven Decisions: Guide strategic decisions using metrics, performance data, and financial impact analysis. Define and own product success metrics, north-star KPIs, and OKRs.
  
  

Qualifications

• Bachelor’s or Master’s degree, preferred, with 8+ years of professional experience in product management (cloud, AI, data domains and/or clinical) or software development.
• 6+ years leading cross-functional or multi-team initiatives.
• Experience in user authentication, data security, and privacy best practices.
• Proven ability to work in technical, cross-functional environments and communicate with senior stakeholders.
• Building/managing data-enabled products, particularly around real-time data capture and aggregation.
• Experience building platforms or integrating operational/data systems.
• Demonstrated ability to deliver strategic programs in high-stakes, fast-paced settings.
• Background with start-ups or scaling early-stage platforms.
• Entrepreneurial mindset; comfortable in ambiguous, rapid environments.
• Domain expertise in life sciences technology (e.g., drug discovery, clinical trials) is preferred.
  
  

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