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17 Algorics Jobs
Associate Director
Algorics
posted 1d ago
Job Role Insights
Key skills for the job
Job Description
- Product vision:
- 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.
- Product Strategy:
- 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)
- Product Roadmaps:
- 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.
- Product Feature Requirements:
- 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.
- 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 Biomarker data platform
- Conduct sessions (individually or through networks) on building next generation data platforms.
- Team Leadership
- 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.
Qualifications:
- Bachelors 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.
Preferred Qualifications:
- Experience in Clinical & Biomarker data ingestion, data quality & data transformation
- Experience in AI driven data platforms and solutions.
- Experience in Metadata driven data-warehousing architectures.
Leadership expectations:
- Provide guidance and support to their team members, helping them to develop their skills, achieve their goals, and grow professionally.
- Ability to understand and appreciate the needs and perspectives of their team members, creating a positive and inclusive work environment.
- Build strong relationships with their team members, stakeholders, and other leaders in the organization, fostering collaboration and teamwork.
- Inspire and motivate their team members, encouraging them to perform at their best and achieve their full potential.
- Effectively manage the performance of their team members, providing feedback, setting expectations, and holding individuals accountable for their results.
- Effectively manage conflicts that arise within their team or with other teams, working to find solutions that meet everyones needs.
- Delegate tasks and responsibilities to their team members, empowering them to take on more challenging work and develop their skills.
- Recognize and reward the contributions of their team members, creating a positive and supportive culture that values and celebrates success.
- Navigate cultural differences and work effectively with team members from diverse backgrounds, promoting inclusion and diversity within their team.
- Collaborate effectively with other leaders in the organization, working together to achieve shared goals and drive business success
Employment Type: Full Time, Permanent
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