EDiscovery Expert​/Lead Product Manager; Relativity & AI

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us.

If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

The eDiscovery Expert will provide global strategic and operational leadership for the company’s eDiscovery and digital litigation technology landscape. This role unifies deep technical expertise in Relativity, AI enabled review, and enterprise data governance with strategic guidance for legal, IT, and business stakeholders. It ensures defensible, efficient, and futureproof eDiscovery processes including enabled review, and enterprise data governance with strategic guidance for legal, IT, and business stakeholders following the entire EDRM.

The preferred location for this role is Pittsburgh, PA, but residence-based candidates in the US will also be considered.

• Set the strategic vision for global eDiscovery technology and AI adoption, ensuring alignment across Legal, IT, and business functions;

• Drive AI adoption and evaluation for litigation, investigations, and regulatory matters, leading pilot-to-production implementation of emerging technologies;

• Shape enterprise digital litigation strategy through active leadership in cross-functional bodies (e.g. Litigation, Information Protection, Information Governance, Compliance);

• Represent the company externally , benchmarking best practices and bringing insights to strengthen the program;

• Build strong, trusted partnerships with internal and external legal teams, influencing case strategy;

• Work together with eDiscovery specialists globally to elevate consistency, efficiency, and technical maturity;

• Enable knowledge sharing by developing frameworks, playbooks, and communication channels .

• Act as the senior technical authority for Relativity and AI-enabled review (e.g., aiR), including workflow design, governance enforcement, and mentoring of attorneys on effective prompt engineering;

• Oversee EDRM stages globally:
  Identification, Preservation, Collection, Processing, Review, Analysis, and Production;

• Independently execute and manage core eDiscovery operations: workspace management, user administration, structured analytics, Review Center configuration, data processing, productions, and quality control;

• Proactively identify data sources and establish best practices ensuring metadata integrity and defensible chain of custody;

• Manage and prioritize global collection and preservation queues , coordinating with custodians and business data owners;

• Provide matter-level strategic guidance on data posture, expert resourcing, and capacity planning ;

• Champion effective data lifecycle management and compliance with legal obligations.

Bayer seeks an incumbent who possesses the following:

• Minimum of a Bachelor’s Degree;

• At least five years of hands‑on experience administering Relativity cases from processing through production; strong AI understanding;

• Relativity Certified Administrator - Relativity Certified Expert/Master preferred;

• Strong IT background with broad knowledge of enterprise data platforms (incl. M365, Purview, cloud/mobile sources);

• Excellent communication skills and ability to translate complex technical concepts for non‑technical stakeholders;

• Ability to independently manage global operational work while driving strategic initiatives;

• Engineering capabilities (scripting, architectural understanding) and continuous learning mindset;

• Fluency in English, German is a plus.

This posting will be available for application until at least 3/9/2026.

Employees can expect to be paid a salary between $ - $. Additional…