• Provides Product and Problem Definition
• Creates and communicates Product Vision, Roadmap and OKRs
• Creates Story Mapping, Writing Acceptance criteria
• Prioritization of transparent product idea and delivery backlogs
• Partners with Scrum Master to manage product dependencies & cross-team planning
• Leads Product Demos (Sprint Reviews) and invites stakeholders and customers
• Organizes and leads product discovery workshops
• Creates opportunities and platforms where the development team can work with stakeholders to test assumptions or clarify needs
• Leads customer interviews, discovery, and ethnographic study
• Defines Product Metrics and Outcomes for success
• Owning the feature lifecycle for multiple key features and functionality on our B2B platforms
• Conduct user feedback sessions, feature research, product discovery and competitor analysis

Skills: Product Vision Development, Agile Methodology, Story Mapping, Stakeholder Engagement, Customer Research, Product Metrics Definition, Feature Lifecycle Management, User Feedback Analysis

• Led the delivery of Google Analytics supporting multiple teams, and collaborating with Domain Services and Data Engineering teams.
• Recommend appropriate website measurement tactics aligned to business goals.
• Perform/Advise quality assurance testing post-implementation.
• Collaborate with site developers to modify the existing tagging infrastructure.
• Identify opportunities for tagging efficiency and provide solutions.
• Ownership over troubleshooting efforts pre and post-release/publish.
• Debug implementation problems/configuration/coding errors.
• Write/edit implementation documents, which explain how to implement our digital analytics solutions.
• Spearhead projects on large scale data (structured/unstructured) acquisition and application within monetization business, exhausting both data and business utilization on all data assets.
• Design the "formula" to generate labelling data for different business scenarios (content featuring, ML model training, NLP, CV etc) and create a streamlined process to deliver data production in time and cost-efficient fashion.
• Understand and explore potential data partnerships, and manage those partnerships from introductions and demos to signed commercial agreements
• Write feature requirements and work with Design to optimize the UX and UI

Skills: Analytics Delivery Leadership, Measurement Tactics Recommendation, Quality Assurance Testing, Tagging Infrastructure Collaboration, Troubleshooting Ownership, Debugging Expertise, Implementation Documentation, Data Acquisition Project Leadership

• Participate in the data analytics initiatives and reporting efforts for the Digital Investing team
• Engage with the key stakeholders to understand the business vision, requirements and priorities and help translate them into actionable insights
• Work with our marketing, sales and operations teams to make data-driven decisions by defining metrics, analyzing trends and finding actionable insights
• Build, maintain and evolve our marketing measurement framework (e.g., marketing mix model, testing/experimentation, attribution, causal inference, etc.), develop recommender systems, forecasting analyses and automate business insights generation
• Interpret and validate model outputs and extract insights, communicate with business partners, and incorporate feedback to iterate and improve results and insights
• Create, own and maintain batch, near-, and real-time data pipelines and workflows, Tableau dashboards and data products, and so, get to help drive decision-making at all levels
• Design, implement and maintain a business-facing data warehouse that will support company's commitment to analytics and a data-driven business philosophy
• Ensure the quality of data and accuracy of our reporting and data products through proactive measures and investigations
• Work with IT & Information Security teams to support data collection, integration, and governance requirements
• Continually investigate new tools and techniques, as well as emerging standards

Skills: Data Analytics Participation, Stakeholder Collaboration, Data-Driven Decision Support, Marketing Measurement Framework, Model Output Validation, Data Pipeline Management, Data Warehouse Design, Data Quality Assurance

• Own end-to-end data processes and features that will be used to make important decisions in the execution of our business strategy.
• Partner closely with Commercial Operations, Finance, and Analytics leaders to understand their objectives, pains, and ideas in order to define the business problems we need to solve, and help with the prioritization of these business problems.
• Deliver value for various business functions, enabling them to derive insights from data that drive agile decision making at scale.
• Own initiatives end-to-end, including leading discovery, writing specs, driving cross-functional execution, making thoughtful product decisions along the way, and sharing insights and outcomes throughout the company.
• Drive execution in collaboration with Engineering and Data Science peers in the creation of data services that will support our various data processes.
• Discover, prioritize, and execute upon opportunities to turn our data assets into products and models that can materially impact the performance of our business.
• Design processes for various business operations including the data services that enable or automate decision making.
• Deliver prototype datasets in partnership with Analytics to be used for answering key strategic questions.
• Design and deliver data process diagrams that help chart a vision for how we can best leverage data assets.
• Collaborate with our team to maintain and refine the product backlog and outcome-based roadmap
• Drive the product analytics plan for features and use this data to conduct experiments

Skills: End-to-End Data Process Ownership, Cross-Functional Collaboration, Agile Decision Support, Initiative Management, Data Services Collaboration, Data Product Development, Business Process Design, Product Analytics and Experimentation

• Serve a key role in the development of data strategy and vision.
• Implement various business intelligence projects, provide data solutions to business goals, devise business processes to acquire datasets into business intelligence platforms and deliver appropriate data products to end users.
• Answer ad-hoc queries on datasets and manage data source intakes as the data domain specialist of a business intelligence platform.
• Champion continuous improvement to business intelligence platform, by addressing data quality root cause, encouraging end users to self-serve, analyzing business requests, and implementing the changes.
• Coach users to assess and analyze data via various data tools.
• Maintain data pipelines and architecture by providing sustainable training of new data source intakes and business logic updated within the business intelligence team.
• Encourage visibility and re-usability of data by co-owning meta-data cataloging with users and technical teams.
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
• Provide tailored solutions to unlock business value with data insights and ML capability. 
• Create and deliver success metrics to continuously monitor and iterate the solution.

Skills: Data Strategy Development, Business Intelligence Implementation, Data Domain Expertise, Continuous Improvement Champion, User Coaching, Data Pipeline Maintenance, Meta-Data Cataloging, Tailored Data Solutions

• Strong experience in the techniques and methods of modern product discovery and product delivery.
• Excellent skills in translating customer needs and market insight into a strategy and road map for future product development.
• Experience in building and maintaining effective relationships with both operational and customer-facing colleagues and external partners to deliver product enhancements within expected service and revenue targets.
• Excellent product ownership, with experience of championing products and propositions internally and externally to ensure the execution of marketing communications, product-led investment programs and sales engagement to achieve revenue targets.
• Good experience in user-centered design and driving engagement with key customers, partners, and external stakeholders to ensure that product plans reflect a deep understanding of customer needs and market insights.
• Commitment to relevant professional development and maintaining market understanding to continue to provide the appropriate support to the business.
• Excellent data-driven decision-making, using strong data interpretation and analytical skills.
• Proven ability to engage with engineers, designers, and other stakeholders in a constructive and collaborative relationship.
• Experience in understanding stakeholder goals and turning them into successful products
• Experience in managing wide groups of stakeholders across all parts of the business, joining the dots to create solutions that work for everyone and prioritizing work within the engineering team
• Experienced working with data platforms (data warehouse/data lake) and understanding the core elements that make up these platforms including the teams such as Data Scientists, Analysts and/or BI teams
• Able to be the voice of the product, translating technical delivery into business outcomes and communicating this effectively

Qualifications: BA in Business Analytics with 7 years of Experience

• Experience in data analytics, project or product management, business analysis, or related area.
• Capable of managing numerous stakeholders, anticipating needs, and gaining alignment for strategies from executive-level stakeholders
• Comfortable in a fast-paced, growing environment and work well with ambiguity
• Proven ability to drive results, especially in a matrixed or influence-based environment
• Understands, describes, and navigates existing work and makes recommendations with a clear sense of organizational impact
• Experience in practicing agile methodologies – Scrum, Kanban
• Proficiency in using tools such as Jira Board, Confluence, Roadmap Tools
• Technical experience in the Data Analytics domain
• Strong problem-solving, analytical, decision-making, and excellent communication with interpersonal skills.
• Enable teams to improve and deliver value continuously.
• Knowledge and working experience in cloud and data technologies such as GIT, SQL, Spark, Druid, Hive, Hadoop, Teradata, GCP and BigQuery

Qualifications: BS in Computer Science with 6 years of Experience

• Experience in leading a data team and driving performance
• A project management professional with Agile skills.
• Exceptional communication skills, in order to explain complex topics to people who don't understand the data & analytics technicalities.
• Great attention to detail and the ability to problem-solve
• Experience with resource management such as planning and forecasting
• Proven ability to coordinate successfully with other teams.
• Strong experience with Data applications and terms including enterprise reporting, dashboards, data discovery, data literacy, data quality, data governance and predictive analysis.
• Experience in Data tools like AWS Services, Snowflake, Tableau and Microsoft Power BI.
• Passion for learning without fear of failure in a passionate and agile team
• Experience in creating and enforcing policies for effective data governance
• Experience in Formulating management techniques for quality data collection to ensure the adequacy, accuracy and legitimacy of data

Qualifications: BA in Data Science with 5 years of Experience

• Experience in data product management or product development experience.
• Experience working closely with a data team or an analytics team to build out data products.
• Strong business focus with the capacity to provide data-driven business insights and recommendations.
• Proven ability to manage multiple projects simultaneously while using project management techniques for tracking, monitoring, visualizing and improving team efficiency.
• Experience working on delivery teams for data warehouse and/or big data projects.
• Knowledge of working in an agile development environment, preferably using scrum methodology
• Deep experience using advanced project management techniques for tracking, monitoring, visualizing, and improving team efficiency and communication (Proficiency in Jira and Confluence is a plus).
• Ability to understand the critical urgency of topics along with extremely strong analytical and problem-solving skills.
• Ability to provide explanations on different complex topics and bring clarity.
• Able to deal effectively with a wide variety of people and handle conflict successfully.
• Exceptional written and verbal communication skills

Qualifications: BS in Information Systems with 4 years of Experience

• Knowledge of Scrum/Agile methodology and project and product management best practices.
• Excellent SQL skills and experience interpreting, navigating, and reverse-engineering ETL code and translating this knowledge into technical requirements for data engineering counterparts.
• Experience with traditional Enterprise Data Warehouse analytics stacks (Oracle, SQL Server) and Cloud Architecture (AWS, Snowflake, Redshift, etc.).
• Knowledge of and experience with data modeling techniques relevant to the Healthcare and Health Insurance industries is a plus.
• Prior data engineering experience is a plus.
• Experience designing reports using industry-standard tools (e.g. Tableau, Allteryx, Looker, etc.)
• Experience with user-friendly visualization and report design
• Experience in business process analysis and definition of application solutions
• Strong analytical, conceptual and implementation skills
• Business knowledge about the travel industry would be beneficial
• Strong understanding of technical web platforms and data science techniques.
• Strong teamwork and collaboration skills

Qualifications: BA in Marketing Analytics with 6 years of Experience