Description :

1. Collaborated with development teams to maintain and enhance data products, ensuring alignment with business needs.
2. Conducted regular product review meetings with stakeholders to drive continuous improvement and resolve action items.
3. Assisted in the transition of new products to business-as-usual operations, ensuring all documentation and processes were in place.
4. Utilized data analysis techniques to guide product feature development and enhancements.
5. Managed data governance initiatives to uphold data reliability and quality standards.
6. Built and maintained data infrastructures that support optimal product performance.
7. Analyzed user data to uncover insights that inform strategic product decisions.

Experience

0-2 Years

Level

Entry Level

Education

B.S. Data Analytics

Description :

1. Conducted regular risk assessments to ensure product security and compliance with data governance standards.
2. Managed software licensing and maintained up-to-date vendor contracts to optimize resource allocation.
3. Forecasted application run costs, ensuring budget adherence and financial efficiency.
4. Facilitated timely purchase order processing, ensuring efficient invoice management.
5. Collaborated with IT teams to validate application performance post-upgrades and disaster recovery tests.
6. Defined actionable data goals that align with the organization’s strategic vision.
7. Translated complex data requirements into manageable tasks for development teams.

Experience

0-2 Years

Level

Junior

Education

BSc Data Science

Description :

1. Lead the development of product roadmaps in collaboration with business stakeholders and agile teams.
2. Design and implement ETL pipelines to enhance data accessibility for product insights.
3. Coordinate with IT to ensure timely delivery of digital product features according to the roadmap.
4. Conduct requirements gathering and user acceptance testing to validate product efficacy.
5. Engage with the executive team to identify critical product capabilities and address potential challenges.
6. Facilitate regular cross-functional meetings to align on product feature development and prioritization.
7. Collaborate with marketing teams to craft compelling product positioning and messaging strategies.

Experience

2-5 Years

Level

Executive

Education

M.S. Data Analytics

Description :

1. Drive the product development process by leveraging analytics to inform feature prioritization and roadmap planning.
2. Collaborate with engineering and design teams to ensure alignment on product vision and execution.
3. Utilize data analytics tools to monitor product performance and gather actionable insights.
4. Define key performance indicators to measure product success and user satisfaction.
5. Facilitate user testing and feedback sessions to refine product offerings.
6. Engage in stakeholder communication to ensure transparency and alignment on project goals.
7. Champion data governance practices to ensure data integrity and compliance across all products.

Experience

5-7 Years

Level

Senior

Education

M.S. Data Analytics

Description :

1. Defined and prioritized product features based on data analysis and user feedback.
2. Collaborated with engineering and design teams to enhance product functionalities and user interfaces.
3. Developed and maintained product roadmaps aligning with strategic business objectives.
4. Conducted market research to identify trends and inform product development strategies.
5. Monitored product performance metrics and iteratively improved based on analytics.
6. Facilitated workshops with stakeholders to gather requirements and validate product concepts.
7. Managed project timelines and deliverables to ensure successful product launches.

Experience

7-10 Years

Level

Management

Education

MBA

Description :

1. Define and execute the product vision and strategy, ensuring alignment with business objectives.
2. Lead cross-functional teams in developing data products that drive user engagement and satisfaction.
3. Utilize data analytics to inform decisions and optimize product features based on user feedback.
4. Manage the entire product lifecycle, from ideation to launch and continuous improvement.
5. Conduct competitive analysis to identify market opportunities and enhance product offerings.
6. Establish key performance indicators (KPIs) to measure product success and drive future enhancements.
7. Foster a culture of data-driven decision-making across teams to support product innovation.

Experience

10+ Years

Level

Management

Education

MBA

Description :

1. Define product vision and roadmap based on user needs and business goals.
2. Collaborate with data scientists and engineers to translate requirements into actionable tasks.
3. Conduct market research and competitive analysis to inform product strategy.
4. Utilize analytics tools to track product performance and user engagement.
5. Facilitate workshops to gather stakeholder feedback and iterate on product features.
6. Manage product backlog and prioritize features for development cycles.
7. Ensure alignment of product initiatives with overall business objectives.

Experience

10+ Years

Level

Executive

Education

MSc Data Science

Description :

1. Led data-driven product development initiatives that align with business goals and enhance user satisfaction.
2. Collaborated with engineering, marketing, and sales teams to ensure successful product launches.
3. Utilized analytics tools to derive insights that inform product strategy and feature prioritization.
4. Developed training materials and conducted workshops to facilitate the understanding of new product features.
5. Monitored market trends and competitor activities to inform product positioning and enhancements.
6. Engaged stakeholders throughout product lifecycles, ensuring clear communication of product vision and updates.
7. Implemented agile methodologies to enhance product development efficiency and team collaboration.

Experience

5-7 Years

Level

Senior

Education

MBA

Description :

1. Drive the development of innovative data products that align with market needs and business goals.
2. Collaborate with engineering and design teams to define product requirements and ensure successful implementation.
3. Utilize data analytics to measure product performance and inform strategic decisions.
4. Develop and maintain product roadmaps that reflect business priorities and user needs.
5. Communicate product vision and updates to stakeholders and executive teams.
6. Identify market trends and user feedback to enhance product features and usability.
7. Lead cross-functional workshops to foster collaboration and innovation in product development.

Experience

5-7 Years

Level

Senior

Education

MBA

Description :

1. Collaborate with cross-functional teams to define product vision and strategy based on data insights.
2. Utilize data analytics to identify user needs and inform product development decisions.
3. Manage the product lifecycle from ideation through launch, ensuring alignment with business goals.
4. Develop and maintain product roadmaps, prioritizing features based on user feedback and market trends.
5. Implement data governance protocols to ensure data quality and compliance with industry standards.
6. Conduct regular analysis of product performance metrics to drive continuous improvement.
7. Facilitate workshops and meetings with stakeholders to gather requirements and align on product direction.

Experience

2-5 Years

Level

Management

Education

MBA

Description :

1. Worked with partners (Product Engineering, Marketing, Sales, Operations, BI) to document requirements for data products including objectives, performance, and ROI.
2. Coordinated with software Product Managers to ensure that data products are accessible to end users through interfaces or integration into software products.
3. Prioritized development of data products based on user feedback, technical feasibility, resources, strategic goals, and ROI.
4. Worked with Data Technical Project Managers to set development schedules, report status, and deliver products on time.
5. Collaborated closely with Data Science & Engineering teams to ensure seamless integration of data products within our data ecosystem.
6. Coordinated A/B testing and other approaches to quantify the performance of data products.
7. Defined & reported KPIs to measure data product performance, user adoption, and ROI.

Experience

10+ Years

Level

Senior

Education

Bachelor's In Computer Science

Description :

1. Evaluated and documented the current state of the business' operations, identifying areas for improvement and assessing readiness for change.
2. Prioritized the team-level product backlog, inheriting priorities from the parent program roadmap.
3. Validated the completeness of product backlog items and defined clear acceptance criteria.
4. Enhanced the value of the team's end product through scalable and automated opportunity assessment and performance measurement of data science insights.
5. Represented the team in program-level product owner sync-ups to ensure alignment with the program and enterprise vision.
6. Created and implemented strategies for data science initiatives that drive business growth and operational efficiency.
7. Communicated diligently with product management and customers to ensure their wants and needs were reflected in the product backlog.

Experience

5-7 Years

Level

Executive

Education

Bachelor's In Computer Science

Description :

1. Ensured execution runs smoothly within the ML Engineering team and across partner teams, breaking down the roadmap into the product backlog, supporting user stories, and acceptance criteria, and creating interaction models to stay on track.
2. Developed a roadmap for experimentation platforms and tools.
3. Scaled experimentation best practices and adoption across teams.
4. Organized training and built documentation to scale knowledge on MLOps and Experimentation.
5. Trained of Snowflake and other data platforms and pipeline technologies.
6. Worked closely with internal stakeholders, including executives, business units, and end-users, to gather and understand their requirements and pain points.
7. Translated business requirements into technical specifications for data science teams.

Experience

2-5 Years

Level

Executive

Education

Bachelor's In Computer Science