Manager, Data Science (8+ years only with Python/NLP/SQL)

Wolters Kluwer ELM Solutions is a business unit under Legal & regulatory division of Wolters Kluwer, specializing in Enterprise Legal Management (ELM) software and services for legal department and law firm management. Their offerings include legal spend management, helping organizations control expenses through detailed tracking and analysis. Matter management tools are provided to efficiently handle legal cases and coordinate with various teams. They also offer contract management solutions, aiding in the creation and storage of legal contracts. Advanced data analytics and reporting capabilities are integral to their products, enabling legal departments to derive actionable insights. Their solutions are designed to streamline workflows, ensure compliance, and automate routine tasks, thereby enhancing the operational effectiveness of legal teams.

The position is for a Manager, Data Science in the ELM AI & Data Science team, who will lead AI driven initiatives, driving innovation, and delivering impactful data-driven solutions across the organization. You will also collaborate with developers, data scientists and the business teams to understand business needs and translate them into solutions. This role requires a combination of technical expertise, leadership skills, and a strong understanding of business objectives.

Essential Duties & Responsibilities:

Data Analysis and Model Development:

• Drive the analysis of complex data sets to extract insights and inform business decisions.
• Lead the development of predictive models and machine learning solutions.
• Collaborate with IT and data engineering teams to enhance data collection and processing.

Team Leadership and Management:

• Lead, mentor, and grow a team of data scientists and analysts.
• Foster a culture of innovation and continuous learning within the team.
• Coordinate with cross-functional teams to ensure alignment with organizational goals.

Stakeholder Management:

• Communicate effectively with stakeholders to understand their needs and deliver data-driven solutions.
• Present complex data insights in a clear and understandable manner to non-technical audiences.
• Act as a liaison between the data science team, and other departments.

Innovation and Research:

• Stay abreast of industry trends and advancements in data science and analytics.
• Encourage and oversee research and experimentation in new AI technologies.
• Promote the adoption of cutting-edge tools and techniques within the team.
• Collaborate with other departs to rapid prototype new AI enabled innovations.

Other Duties:

• Proactively pursues professional development activities (e.g., establishing personal networks).
• Manages time and company resources appropriately.
• Performs other duties as requested by his/her supervisor.

Minimum Qualifications:

• Advanced degree in Data Science, Statistics, Computer Science, or related field with 5 years’ experience OR, Bachelor’s degree in engineering, Information Technology or similar field with 10 years’ experience
• 5+ years of experience in related field required with supervisory experience is plus.
• Strong proficiency in data science tools and programming languages (e.g., Python, R, SQL).
• Expertise in machine learning, statistical analysis, and predictive modeling.
• Ability to visualize data and communicate story.

Preferred Qualifications: (Includes Minimum)

• Innovator: Needs to have a keen and flexible intellect with strong conceptual thinking, analytical and problem-solving skills. Experience in all phases of AI development lifecycle, with strengths in developing AI enabled solutions.
• Creativity/ Curiosity: Be resourceful and inventive at defining solutions (AI enabled, Data driven, process based) to business issues.
• Top Notch Communicator: Excellent verbal and written communication skills
• Relationship Builder: Outstanding relationship management, communication, teamwork, and influence skills to gain consensus from technology, operations and business experts.
• Results Oriented: Motivated and self-accountable for performance. Able to work independently as well as in a team environment.
• Expertise in using Microsoft Office suite (Excel, Word, PowerPoint, outlook)
• Understanding of Agile methodologies for rapid development
• Ability to work under tight timeline and have a results-oriented attitude
• Energetic with a positive attitude, Impeccable professional and personal integrity
• Excellent interpersonal, organizational, customer service skills and attention to detail
• Excellent time management skills with a proven ability to meet deadlines.

Additional Skills, Knowledge & Abilities:

• Strong problem-solving abilities and analytical thinking.
• Ability to translate complex data into actionable insights for various stakeholders.
• Ability to understand the data sources and query data as needed.
• Experience with big data technologies and cloud platforms is a plus.