Posting Type
Hybrid/Remote
Job Overview
Team OverviewRelativity’s Account Services team within the Relativity Success team, ensures each customer or partner account for Relativity’s business has a group of dedicated individuals to manage the account and reduce friction, assist with growth and enable transformation. The team partners across Sales, Customer Success, Product Management, Engineering, and partner organizations to enable seamless data migrations from diverse sources into RelativityOne, amongst other adoption goals. Our mission is to ensure efficient, secure, and successful customer transitions to the RelativityOne platform — accelerating adoption, reducing risk, and maximizing value realization for clients and partners.
This role sits at the intersection of program management, technical coordination, and customer engagement, supporting large-scale technology transformations across our customer base.
Role Overview
The Program Manager, Migrations will lead and coordinate complex migration initiatives involving multiple internal and external stakeholders. This role requires strong program management expertise and a proven ability to orchestrate large-scale data migrations from legacy and competitive systems to modern SaaS, Cloud, and AI platforms.
You’ll collaborate closely with Technical Account Managers, Engineering, and Product teams, as well as external partners and customers, to manage the planning, execution, and reporting of migration programs. This position demands both strategic oversight and hands-on leadership to drive execution through influence.
The role reports to the Manager, Success Strategy and Business Operations and can be based in Chicago or remote within the U.S.
Job Description and Requirements
Core Responsibilities
Lead Complex Migration Programs: Manage end-to-end coordination of multi-phase, high-impact data migration programs from a variety of environments — including Relativity Server, competitor SaaS platforms, and on-premise or legacy legal data systems.
Program Governance & Stakeholder Alignment: Establish and maintain program governance, timelines, and deliverables, ensuring alignment across internal teams, customers, and partners.
Strategic Planning & Reporting: Develop, maintain, and communicate detailed program plans, risk registers, and progress reports tailored for technical, business, and executive audiences.
Cross-Functional Collaboration: Partner with Engineering, Product Management, Customer Success, and external vendors to resolve blockers, assess risks, and ensure data integrity throughout migration cycles.
Executional Leadership: Lead through influence — driving accountability, surfacing challenges, and ensuring deliverables are met through proactive engagement and coordination.
Continuous Improvement: Contribute to the evolution of Relativity’s migration frameworks, playbooks, and tools, leveraging lessons learned to improve efficiency, repeatability, and customer experience.
Customer & Partner Engagement: Serve as a primary point of contact for program-level migration activities, ensuring stakeholders are informed, supported, and confident throughout the migration journey.
Required Qualifications
5–8 years of program or project management experience in complex technology or IT transformation programs, ideally involving data migrations to SaaS or cloud environments.
Demonstrated ability to manage multi-stakeholder programs with technical and business complexity.
Proven experience developing structured program plans, dashboards, and executive reports.
Highly-developed communication skills — able to translate technical issues into business impact and vice versa.
Ability to lead through influence and manage execution across diverse functional teams.
Experience with Relativity Server, RelativityOne, or other eDiscovery / Legal Data Intelligence platforms.
Preferred Qualifications
Background in large-scale data center or application migrations.
Experience working in SaaS companies, legal technology, or unstructured data ecosystems.
Familiarity with project management and collaboration tools (e.g., Asana, Jira, Smartsheet, Salesforce).
Experience working in vendor–service provider–end customer models.
Personal Qualities
Excel at orchestrating complex, multi-dimensional programs while maintaining attention to detail.
Are equally comfortable leading executive briefings and chasing down tactical deliverables.
Enjoy working cross-functionally to solve ambiguous, high-stakes challenges.
Are proactive, collaborative, and passionate about delivering customer success through operational excellence.
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
$115,000 and $173,000The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
Suggested Skills:
Budget Management, Mentorship, Negotiation, Program Management, Project Management, Risk Management, Stakeholder Management, Strategic Planning, Team Leadership, Vendor ManagementTop Skills
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
