Associate Director, Product Management (Data Platform)

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Requirements:

• Bachelor's degree in a related field; MBA or advanced degree preferred.
• Minimum of 10 years of relevant experience in product/service/project/program management or software development, delivering large scale software products or services.
• Minimum of 5 years of experience in managing teams.
• 8 + years of experience in building data platforms with deep experience in data warehousing principles
• Strong experience in solutioning and creating business & data architecture for data ingestion, data quality, data transformation and data provisioning.
• Experience in product management of building SaaS Platforms
• Experienced in creating product strategy & roadmaps
• Proven track record of working with technical teams and QA teams in building SaaS Product.
• Excellent leadership and team-building skills, with a track record of managing and developing high-performing Business analyst teams.
• Exceptional communication and interpersonal skills, able to convey complex Business technical strategies to both Business and technical stakeholders.
• Analytical mindset with the ability to use data-driven insights to inform decisions.
• Strong problem-solving abilities and the ability to make critical decisions in high-pressure situations.

Responsibilities:

• Research and determine client and market needs for a SaaS based Biomarker Data Platform (Data Lake, Platform framework & utilities)
• Collate and distill ideas, to create a backlog of feature and component ideas for building a data lake and common framework & utilities (part of data platform)
• Create and manage a visual representation of the vision of the data platform (Data lake, Platform framework & utilities)
• Ensure that the data lake, platform framework & utilities roadmap (features across releases) aligns with the QB platform vision.
• Assess current product and platform, identify key components and feature groups that needs to be available for satisfying vision of the data lake & platform, framework & utilities (data platform components)
• Analyze current technical landscape (Data Sciences, ML & AI) to incorporate AI features for data ingestion, data lake, platform common framework & utility components of the data platform.
• Conceptualize short term, mid-term and future state of user journeys of the various persona using the data platform components of data lake and common framework & utilities.
• Define and create a Metadata driven Business architecture of the data platform components (based on different types of Biomarker data and Platform use cases)
• Identify build, buy and partnership opportunities as part of data platform product strategy (As applicable to the data lake and common framework components)
• Create data platform business architecture by decomposing product to components, subcomponents, feature groups, features and map the features to end user benefits
• Perform and Lead data platform feature prioritization based on end user, internal and external stakeholder needs
• Collaborate with engineering and QA groups for discovery workshops and to enable estimation of the data platform features
• Publish and manage data platform roadmaps that meets the stakeholder requirements and schedule.
• Create and maintain channels for data platform features intake process (ideas to features)
• Manage product backlog and plan out the feature selection as part of release planning process
• Enable Business analysts to detail the data platform features to user stories and low fidelity wireframes
• Enable Product design team for data platform user research, user experience and to create high fidelity wireframes Product Releases:
• Lead data platform Product grooming sessions with product development functional groups (Engg, Data sciences, QA)
• Perform and lead product management efforts as part of Agile product development efforts (clarifications, follow-ups, feedback on development & QA)
• Lead collaboration with Product QA to plan our test and validation release strategy specific to data platform
• Plan and lead strategical and tactical workarounds (by working with development teams) in case of bottle necks, roadblocks during product development
• Lead collaboration with vendor teams in case of buy and partnership scenarios in building out components of the data platform
• Lead collaboration with product operations team for all aspects of product release process for every major, minor and sub-minor releases.
• Lead collaboration efforts with product support team to set up hyper-care team and process after every release
• Lead collection and analysis of release feedback to incorporate the feedback as feature enhancements for future releases
• Lead triage of defects and bugs, identify workarounds and collaborate with product support team
• As necessary, plan out minor and sub-minor versions of product release with product operations team and other functional groups
• Define and manage metrics framework for measuring data platform business goals, product implementation, end user satisfaction and delight (Business metrics, Implementation metrics, Usage metrics, adoption metrics)
• Collaborate with finance and senior leadership team to measure and improve product financial goals (SaaS finance metrics)
• Define, manage product management operational metrics to improve his/her product management function
• Conduct Periodic stakeholder meetings to provide update on product strategy and releases
• Build strong relationship with data platform technical and QA lead to deliver product releases.
• Create and execute framework to collaborate with stakeholders across internal R&D team and collaboration across other functional groups such as sales/Marketing, Product support, finance.
• Build and execute framework to get product strategy inputs from external stakeholders
• Collaborate with Marketing & content team to publish articles for though leadership in Biomarker data platform
• Conduct sessions (individually or through networks) on building next generation data platforms.
• Build and lead a high-performing team of data platform Business analysts, fostering a culture of continuous learning and improvement.
• Set clear objectives, provide coaching and mentorship, and evaluate team performance.