TalentNeuron is a top-of-the-line HR analytics enterprise software-as-a-service product that utilizes a vast array of public data sets, including profiles, jobs, companies, universities, demographics, and skills. The product leverages cutting-edge cloud, big data, and open source technologies, frameworks, and toolsets. TalentNeuron stands as the world's foremost provider of global talent demand and supply data, offering real-time insights and predictive analytics on the job market, location, and competitive intelligence to assist clients in making informed human capital decisions, streamlining workforce access, and advancing corporate diversity, equity, and inclusion initiatives. Our clients include market leaders like Southwest, Nestle, Verizon, Facebook as well as hundreds of large and midsized enterprise companies, and that list is growing quickly.
When you join TalentNeuron, you will be part of a fast-growing team that helps the world become more intelligent and connected. We’re the leader in our industry, achieving double-digit growth by helping clients make the right decisions with business and technology insights they can’t find elsewhere. TalentNeuron’s Product & UX team embraces collaboration, experimentation, and mutual support in reaching our shared goals. We work together closely through all stages of the user-centric design process, from ideation to delivery, and aren’t afraid to change things up when a process or system no longer serves us. We foster an environment of trust, flexibility, and work-life balance, and we value each other as not only coworkers but as people.
As a Senior Data Product Manager, you will work with TalentNeuron Product Leadership to help define TN’s current enterprise architecture, build Roadmap, and execute a future vision and strategy in collaboration with Data Science and Engineering teams.
What You Will Do:
- Executing the TalentNeuron’s Data Strategy Roadmap, designing and defining the Core data
- methodologies /algorithms.
- Drive to add critical Data Capabilities, deliver value, features, prioritization, and requirements for
- TalentNeuron’s core analytical engine in realizing the overall vision for TN Data Strategy.
- Lead the scoping, and prioritization of projects to achieve all of our goals.
- Represent the team with Stakeholders and Senior Leadership team to align resources and
- prioritization.
- You will also provide day-to-day support in the form of user story definition, grooming and
- collaboration with the core data Methodology teams in Data Science.
- Be the go-to person for all data-related matters for your domain(s) and stay up to date on
- business or operational approaches to ensure your domain stays aligned to current practices.
- Work closely with multi-functional teams, such as data producers, engineers, and data architects
- to craft and deliver data products that enable the deeper understanding of a domain.
- Building and enhancing required Tools for managing Data assets and monitoring the quality of
- data.
- Define and assist with implementing specific data quality requirements and present metrics
- detailing alignment and improvements to data quality rules.
- Demonstrate active ownership of data domains and processes and procedures associated with
- those goals.
- Monitor domain usage and its efficiency, and work to continuously improve performance and
- faster resolution of issues.
- Communicate domain updates, releases, and roadmaps to end-users.
- Ability to summarize business use cases, data information/structure concepts and clearly
- communicate those.
- Understanding of data architecture principles, including data design practices.
- Experience with cloud data environments in AWS, ETL practices, data contracts, and APIs.
- Proficiency in SQL, Python, or other coding languages for data analysis and creation of data
- visualizations and specifications.
- Strong problem solving and analysis skills, with the ability to translate business needs into
- technical specifications.
- Knowledge of modern Data Infrastructure and related processes.
- Exposure to BI Tools like PowerBI, Tableau, Qlik sense and other similar tools.
- The job requires an individual with lateral problem-solving skills, excellent communication skills,
- the ability to translate technical and Data Science requirements into actionable, testable,
- measurable stories with clear acceptance and Success criteria.
- Experience and proponent of agile development methodologies.
- Bachelor's degree in computer science, business administration, systems engineering, data
- science, or related discipline.
- 5-7 years of experience in Product Management, Data Engineer, Data Analyst, Developer or QA
- positions working with relevant skills in a data focused role within a Big Data organization.
This job is already closed and no longer accepting applicants, sorry.
