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We are seeking an experienced and dynamic Product Engineering Lead with a strong background in Data Scienceand Engineering to drive the development of Digital Employee Experience(DEX) team. In this role, you will bridge the gap between business, engineering, and product teams to define, develop, and deliver solutions that leverage cutting-edge data science techniques, machine learning, and engineering best practices. As a Technical Product Lead, you will leverage your deep technical knowledge and product management expertise to define, develop, and manage products to drive business outcomes.
Responsibilities:
Lead the integration of AI/ML solutions into the product, leveraging a deep understanding of both technical and business aspects to drive impactful outcomes.
Define and prioritize the platform strategy and roadmap, aligning technical and business goals.
Guide technical execution, ensuring scalable and maintainable data architecture, ML models, and analytics systems.
Oversee data quality, security, and compliance across the platform.
Integrate AI/ML solutions into the application solutions, balancing technical complexity.
Develop a strong understanding of the platform vision and proactively address technical challenges and opportunities that align with organizational strategy.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
Experience:
Proven track record of leading data-driven product development, from ideation through to launch, in a fast-paced and agile environment.
Strong experience working with data engineering teams to build scalable data pipelines, machine learning models, and advanced analytics solutions.
Experience in the full product lifecycle, including requirement gathering, user stories, feature prioritization, and managing product roadmaps.
Technical Skills:
In-depth understanding of data science and machine learning concepts, algorithms, and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Hands-on experience with data engineering tools and technologies (e.g., SQL, Python, Spark, Kafka, Hadoop).
Familiarity with IBM cloud platforms and their data services .
Strong background in working with APIs, data pipelines, and big data architectures.
Understanding of data privacy, security, and compliance concerns related to data products.
Product Management Skills:
Strong background in defining and executing strategies and roadmaps, with an ability to balance technical and business needs.Ability to translate complex technical concepts into clear product requirements and communicate them effectively to stakeholders.Experience in prioritizing product features based on user feedback, market trends, and data-driven insights.
Leadership & Communication:
Excellent leadership and interpersonal skills, with the ability to mentor and guide cross-functional teams, including engineers, data scientists, and business stakeholders.Exceptional communication skills, with the ability to effectively interact with both technical and non-technical stakeholders.
10+ years of experience in of technical experience, ideally with a focus on data science, machine learning, or engineering.