Associate Director, Product Management Bio-Specimen Operation Analytics

QuartzBio (www.quartz.bio ) is a Software-as-a-Service (SaaS) solutions provider to the life sciences industry. We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities.

Our end-to-end (from sample collection to biomarker data) suite of solutions are focused on providing sponsors information (data with context) – we do this by connecting biospecimen, assay as well as clinical data sources in a secure and scalable cloud-based infrastructure, enabling seamless, automated data management workflows, key insight development, improved collaboration, and the ability to make faster, more informed decisions.

Position Title:

Associate Director, Product Management (Business Intelligence – Clinical Operations analytics)

Position Summary:

As we continue to expand our product management team, we are seeking a highly skilled Product management leader in Biospecimen operations analytics subject domain to lead product management of our product (product that enables analytics on sample inventory data) .  This leadership role is responsible for driving product leadership in laying out the vision, creating integrated sample inventory operations data platform & analytics roadmaps by working with multiple internal and external stakeholders, and building the product through collaboration with multiple teams (Engg, QA, Data sciences, Infra).

Key Responsibilities:

• Product vision:
• Research and determine client and Market needs for a sample inventory operations analytics product (Clinical operations subject area)
• Collate and distill ideas, to create a backlog of feature and component ideas for building analytics around Clinical Samples
• Create and manage a visual representation of the vision around Clinical Sample analytics
• Ensure that the analytics product roadmap (features across releases) aligns with the product vision.
• Product Strategy:
• Assess current product and platform, identify key components and feature groups that needs to be available for satisfying vision of the for clinical sample analytics
• product.
• Analyze current technical landscape (Data Sciences, ML & AI) to incorporate AI features for sample inventory analytics
• Deep Collaboration with data platform product team for data ingestion, data quality, data transformation of sample operations data to provision for clinical sample analytics
• Conceptualize short term, mid-term and future state of analytics of the various persona using the  clinical sample analytics product
• Define and create strategy around descriptive, predictive and prescriptive analytics around for clinical sample analytics product
• Create for clinical sample analytics strategy framework that enables creation of library of out of the box analytics and enabled continuous enhancement of the library though implementation.
• Product Roadmaps:
• Create for clinical sample analytics product scope by decomposing product to components, subcomponents, feature groups, features and map the features to end user benefits
• Collaborate with data platform team as a Biospecimen & sample operations SME for an integrated sample operations data platform and analytics roadmap
• Perform and Lead sample operations analytics 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 features
• Publish and manage roadmaps that meets the stakeholder requirements and schedule.
• Product Feature Requirements:
• Create and maintain channels for sample operations analytics features intake process (ideas to features)
• Act as a Lead SME for sample operations data processing to the data platform team during integrated release planning stage.
• 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 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 sample operations analytics
• 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 sample operations analytics product
• Lead collaboration with product operations team for all aspects of product release process for every major, minor and sub-minor releases.
• Post release:
• 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
• Product Usage:
• 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
• Product Stakeholder management
• 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
• Thought Leadership
• Collaborate with Marketing & content team to publish articles for though leadership in sample operations analytics
• Conduct sessions (individually or through networks) on building next generation sample operations analytics.
• Team Leadership
• Build and lead a high-performing team of Business analysts, fostering a culture of continuous learning and improvement.
• Set clear objectives, provide coaching and mentorship, and evaluate team performance.

Qualifications:

• 10 + years of experience in Clinical operations
• Strong experience in solutioning around processing and analytics of Clinical operations data
• Proven track record of a subject and domain expert in Clinical operations
• Minimum of 10 years of relevant experience in product/service/project/program management or software development, delivering large scale software products or services.
• Bachelor's degree in a related field; MBA or advanced degree preferred.
• Minimum of 5 years of experience in managing teams.
• 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.

Preferred Qualifications:

• Experience in Biospecimen and sample operations
• Experience in product management of building SaaS Platforms
• Experienced in creating product strategy & roadmaps
• Experience in AI enabled solutions

Leadership expectations:

• Ability to think strategically, setting a long-term vision and strategy for their organization, and aligning their goals with the overall goals of the company.
• Manage change effectively, creating a culture of continuous improvement, adapting to new market conditions and evolving customer needs.
• Attract, develop, and retain top talent, creating a culture of learning and growth, identifying skills gaps and providing development opportunities.
• Communicate effectively with their team members, stakeholders, and other leaders in the organization, providing clear direction, feedback, and performance expectations.
• Possess high levels of emotional intelligence, including self-awareness, self-regulation, empathy, and social skills, to be effective leaders.
• Build strong relationships with their team members, stakeholders, and other leaders in the organization, fostering collaboration and teamwork.
• Provide regular coaching and feedback to their team members, helping them to develop their skills and achieve their goals.
• Motivate and inspire their team members, creating a positive and supportive work environment that fosters creativity, innovation, and high performance.
• Manage conflicts that arise within the team or with other teams, resolving issues in a fair and objective manner.