Director, Product Software Engineering
1 week ago
Do you want to use your skills and talent to make a meaningful impact on the Tax and Accounting industry?
The Advanced Technology (AT) team, part of the Digital eXperience Group (*/dxg), is searching for an experienced leader to join our leadership team, to head the group that delivers AI-based solutions to our partners in the Tax and Accounting division. Wolters Kluwer Tax and Accounting provides software and research products globally to enable tax and accounting professionals and businesses of all sizes to drive productivity, navigate change, and deliver better outcomes. This team focuses on creating Artificial Intelligence (AI)/Machine Learning (ML) solutions that can be delivered to production and developing advanced POCs. We are looking for a leader who is willing to take on new challenges and work in a highly collaborative environment with product owners, developers, engineers, and data scientists. Wolters Kluwer is a fast-growing and innovation-driven global company that has successfully made a transition from print publishing to a digitally driven provider of professional software, online expert content and integrated workflow products. This Advanced Technology role is crucial to our continued growth and evolution.
The team includes AI/ML engineers, data engineers, architects, and software engineers delivering AI. The ideal candidate is passionate about technology and applying it to solve real world problems by leveraging advanced technologies, particularly in the cloud, including Generative AI (GenAI), natural language processing, machine learning and deep learning. The successful candidate is equally passionate about working closely with business leaders, product owners, customers, and developers to deliver. Reporting into the Advanced Technology team, this role is crucial to the continued growth and evolution of one of the leading companies providing expert solutions to the healthcare, compliance, legal, tax and ESG markets globally.
Responsibilities:
Provide program, project, development and operational structure and the application of best practices to the delivery, support, and operations for successful AI project and data strategy delivery across the division.
Direct and prioritize the work of implementation teams.
Manage budgets, processes and plans around these deliveries. Resolve issues and ensure successful delivery.
Direct and prioritize the work of implementation teams.
Hire, supervise, mentor, train and manage the performance of staff.
Oversee the work of outside contractors and vendors.
Implement best practices for software engineering and AI solution delivery in collaboration with other AT and Wolters Kluwer teams.
Engage with business owners to understand business needs (expressed and latent), map the AI and data technology needs of the business and execute programs to deliver against their roadmap.
Help support and guide */dxg business partners in the appropriate use of AI technologies.
As a member of the Advanced Technology (AT) leadership team, support the mission of Advanced Technology by influencing core capability development to expand opportunities and lower the barrier to the adoption of AI-based solutions.
Support the assessment of production suitability of Open Source and proprietary solutions for Generative AI (GenAI) Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL)
Communicate effectively on the project pipeline, status and issues including resourcing and budget.
Collaborate effectively with other teams across the */dxg and Wolters Kluwer to align on direction and leverage existing tools and knowledge.
A self-starter who can align the technology solution with a business goal
Qualifications:
Education:
MS or PhD Degree in Computer Science, Engineering, Mathematics or relevant experience
Experience:
12+ years experience in software development of production ready capabilities
8+ years experience leading production solution delivery.
4+ years experience in developing applications leveraging AI technologies: Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) for production application.
3+ years experience working with agile and Software Development Lifecycle tools (e.g. JIRA, Confluence, Git) and Test-Driven Development (TDD)
Experience conducting rapid experimentation with Large Language Models (LLMs), including advanced Retrieval Augmented Generation (RAG) patterns.
Experience with Continuous Integration/Deployment, automated testing and Tools (i.e. Jenkins, Atlassian Bamboo…)
Strong knowledge of Python and ML tools (including pandas and scikit-learn)
Experience applying NLP, ML and DL open-source libraries, such as OpenNLP, spaCy, NLTK, Keras, MXNet, scikitlearn, etc. to deliver solutions.
Experience with building solutions on cloud platforms (Azure or AWS) for data strategy and AI solution delivery.
Strong working knowledge of ML and NLP and the ML/NLP development process
Demonstrated ability to function in distributed and multi-disciplinary teams across technology and business.
Strong verbal and written communication skills
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