Sr. Technical Project Manager - Data Science

About the Team:

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role:

Do you enjoy collaborating cross-functionally to deliver on project success?

Do you want to help us build further data science capabilities?

This position conducts stakeholder negotiations that span across portfolios by driving and managing numerous large, complex projects. In addition, this position will project-manage cross-functional teams by working closely with all aspects of the product development community: Market Vertical, Product Manager, Engineering, Testing, Legal, and more. The Senior Project Manager also builds development road maps and project schedules and collaborates to resolve issues by working with top Engineering resources utilizing our industry-leading technology.
Responsibilities

• Program Leadership: Manage multiple high-complexity programs and projects within assigned product portfolios, ensuring milestones, deliverables, and financials are achieved.

• Execution Excellence: Partner with global Product Management, Engineering, and Data Science teams to drive disciplined execution, while ensuring optimal resource utilization and capacity management.

• Cross-Functional Collaboration: Lead and align cross-functional teams across diverse geographies, ensuring clear communication, coordination, and timely delivery.

• Change Champion: Drive organizational transformation by creating transparency, establishing best practices, and embedding accountability across the PMO and partner teams.

• Process Improvement: Identify, propose, and implement process improvements across the organization to enhance effectiveness and scalability.

• Thought Leadership: Act as a subject matter expert in AI-related program delivery, representing portfolio status, challenges, and strategies to leadership in multiple formats (written, verbal, presentations).

• Mentorship & Talent Development: Mentor and coach junior project managers, informally lead team members, and contribute to talent acquisition through candidate evaluation and recruitment.

• Special Initiatives: Lead assigned strategic or special projects that improve operations, process efficiency, or program outcomes across the enterprise.

Requirements:

• 12+ years of IT PMO experience

• Bachelor’s degree in technology, finance, business, or equivalent experience required

• Project governance certification (PMP, PRINCE2, Agile, etc.) required

• Experience in developing software for a deep understanding of the development lifecycle, ideally with experience building AI tools or projects

• Extensive experience in project/program management, preferably within AI, data science, and/or software engineering domains.

• Demonstrated success managing complex, cross-functional, and multi-portfolio programs.

• Ability to communicate clearly and influence stakeholders across all levels of the organization.

• Experienced with coaching and mentoring colleagues to foster growth and professional development.

• Be able to demonstrate experience of using a broad area of data to inform decision-making.

• Be a great communicator and able to deliver presentations suited to the characteristics and needs of the audience.

• Advanced problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions; and identifying risks/impacts and schedule adjustments to facilitate management decision-making.

• Agile knowledge required.

• Advanced understanding of resource allocation.

• Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.

• Possess advanced programming skills in Python, R, or other relevant languages for data analysis

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