Job DescriptionWe are seeking a highly skilled and motivated
Technical Product Manager - Data & AI Platforms to join our dynamic team. The ideal candidate will have a strong background in product management of data products and platforms, with a proven track record of successfully delivering data-driven products, APIs, and AI/ML enablement capabilities from conception to launch. As a Technical Product Manager, you will be responsible for defining product vision, strategy, and roadmap for data acquisition, labeling, annotation, governance, and quality initiatives, ensuring alignment with business goals and customer needs. You will collaborate closely with cross-functional teams, including engineering, data science, AI/ML, design, marketing, and business stakeholders to deliver high-quality data products and pipelines that power advanced analytics and machine learning solutions.
This role requires 4 - 5 days in client office, located in Dallas, TX.
Responsibilities- Define and communicate the product vision and strategy for data products, data pipelines, and AI/ML data capabilities, ensuring alignment with overall business objectives.
- Own and drive the data collection strategy, including ingestion, labeling, annotation, and quality management processes that support machine learning and analytics initiatives.
- Develop and prioritize the product roadmap for data platforms, balancing short-term delivery objectives with long-term scalability, governance, and data quality goals.
- Collaborate with engineering, data engineering, and data science teams to translate product requirements into actionable specifications for ETL/ELT pipelines, cloud data platforms, and data services.
- Lead cross-functional teams through the end-to-end product lifecycle, ensuring timely delivery of high-quality data products, APIs, and platform capabilities.
- Establish and monitor data quality frameworks, governance standards, quality gates, and performance metrics to ensure reliability, accuracy, and usability of datasets.
- Gather and analyze feedback from internal stakeholders, customers, and AI/ML teams to drive continuous product improvements and data quality enhancements.
- Monitor product performance, adoption, and operational metrics, making data-driven decisions to optimize data assets and platform capabilities.
- Act as the primary point of contact for data product initiatives, fostering strong relationships with stakeholders across engineering, operations, analytics, and business functions.
- Stay up-to-date with evolving technologies and best practices related to cloud data platforms, data governance, machine learning enablement, sensor data collection, auto-labeling, and data product commercialization.
- Partner with teams supporting sensor kits and pods, HLOG conversion, MCAP data management, and automated labeling initiatives to ensure scalable, high-quality data operations.
Qualifications- Bachelor's degree in Business, Engineering, Computer Science, Data Science, Information Systems, or a related field; MBA is a plus.
- Minimum of 5 years of experience in Product Management, Data Product Management, or Technical Product Management, with a strong focus on delivering successful data-driven products or platforms.
- Proven experience managing data products, APIs, analytics platforms, or AI/ML enablement solutions from concept through production.
- Strong understanding of the dataset lifecycle, including data acquisition, labeling, annotation, validation, governance, and quality management practices.
- Experience with cloud-based data platforms and modern ETL/ELT architectures in environments such as AWS, Azure, or Google Cloud.
- Proven experience leading cross-functional teams and managing complex technical initiatives involving engineering, data engineering, and data science stakeholders.
- Strong analytical skills, with the ability to assess data quality, interpret performance metrics, and make informed product decisions.
- Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.
- Demonstrated ability to think strategically and execute tactically in highly technical and data-intensive environments.
- Experience with Agile methodologies, product management tools, and data-focused delivery frameworks.
- Understanding of data governance, metadata management, lineage, compliance, and data quality frameworks.
- Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution.
- Familiarity with AI-enhanced platforms, machine learning workflows, and automated data labeling solutions is a plus.
- A solid understanding of AI capabilities and limitations, including ethical considerations, is expected.
- Experience commercializing data products, APIs, or platform capabilities is highly desirable.
The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $111,300.00 to $144,600. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview.
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