Associate Director, Product Management (Business Intelligence – Sample operations & Biomarker data analytics)
Remote, United States
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 – Sample operations & Biomarker data analytics)
Position Summary: As we continue to expand our product management team, we are seeking a highly skilled Product management leader in Sample (Biospecimen) operations and Biomarker data analytics subject domain to lead product management of our product (product that enables analytics on sample inventory & biomarker data). This leadership role is responsible for driving product leadership in laying out the vision, creating integrated sample inventory operations & biomarker 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:
- Research and determine client and Market needs for a SaaS based sample inventory operations & biomarker data analytics product
- Collate and distill ideas, to create a backlog of feature and component ideas for building analytics around Clinical Samples & biomarker data
- Create and manage a visual representation of the vision around Clinical Sample & biomarker data analytics
- Ensure that the analytics product roadmap (features across releases) aligns with the product vision.
- Assess current product and platform, identify key components and feature groups that needs to be available for satisfying vision of the for clinical sample & biomarker data 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 and biomarker data analytics product
- Create for clinical sample & biomarker data analytics strategy framework that enables creation of library of out of the box analytics and enabled continuous enhancement of the library though implementation.
- Create for clinical sample & biomarker data 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 & Biomarker data SME for an integrated sample operations & biomarker data platform and analytics roadmap
- Perform and Lead sample operations & biomarker data 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.
- Create and maintain channels for sample operations & Biomarker data analytics features intake process (ideas to features)
- Act as a Lead SME for sample operations & biomarker 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
- 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.
- 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
- Define and manage metrics framework for measuring analytics product’s 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.
- Collaborate with Marketing & content team to publish articles for though leadership in sample operations & biomarker data analytics
- Conduct sessions (individually or through networks) on building next generation sample operations & biomarker data analytics.
- 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:
- 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 in clinical space.
- Minimum of 5 years of experience in Bioinformatics (Biomarker data) and/or Clinical operations (Sample operations)
- Strong experience in solutioning around processing and analytics of Clinical operations data (Sample) & Biomarkers data
- Proven track record of a subject and domain expert in Clinical operations (Sample operations) and/or Biomarker data.
- 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.
- Demonstrated leadership and project management skills.
- Excellent problem-solving and analytical skills.
- Skill in presenting well-organized and convincing information that is clear and efficient and can be understood by all audiences.
- Demonstrated proficiency in business proposals methods and techniques for preparing and presenting business cases, both orally and in writing.
- Good working knowledge of metrics to forecast project cost, schedule, effort, and quality.
- Excellent focus on customers, peers and key vendor relationships to ensure expectations are met.
Preferred Qualifications:
- Experience in product management of building SaaS Platforms (Clinical operations & Biomarker based solutions)
- Experienced in creating product strategy & roadmaps
- Experience in AI enabled solutions
- 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.
- Ability to make sound decisions that support the goals of the organization, considering the perspectives of all stakeholders and balancing competing priorities.