The Project Manager role is responsible for high level management, delegation, and execution of day-to-day e-discovery project tasks, reporting to the PM Project Director team. The role involves concurrently managing multiple projects of varying complexity. The Project Manager will collaborate with attorneys, paralegals, IT personnel, and other members of the counsel and/or client legal team to ensure the successful completion of e-discovery matters. Project Managers must also mentor, train and delegate to members of the project team. Responsibilities Core Competencies (based on Clients Values) Be flexible and embrace change. Take ownership for providing outstanding service. Value and respect the contributions of others, building trust and relationships with stakeholders. Take initiative, act with urgency be accountable and demonstrate unwavering commitment to do the right thing. Recognize, develop and celebrate individual and team successes. Utilize communication best practices and active listening techniques to meet stated needs. Lead with conviction. Essential Responsibilities: Management of Projects Provide end-to-end oversight of multiple discovery matters and serve as primary client point of contact. Provide expertise and consultative advice regarding data collections, processing, review workflows, analytics, and production/export deliverables. Create and maintain project schedules and reporting, including defining activities, sequence of events, dependencies, work effort, duration and associated resource requirements. Develop and manage relationships with internal teams. Define, articulate, implement and monitor quality standards on all project deliverables. Plan and manage internal and external project communications, ensuring effective exchange of project information and deliverables. Serve as an expert on Client's review platforms and proprietary offerings. Forecast, track and manage project budgets. Successfully oversee multiple, concurrent projects. Generate and distribute s reporting metrics and other identified KPIs on a regular basis as needed for each project. Develop strong client relationships through collaborative, consultative service. Support of Team and Colleagues Be knowledgeable about, and able to speak competently to, all Client's service offerings. Contribute and participate in, in conjunction with GRO/SCS, business development activities with existing and new clients, such as sales presentations, QBRs, or other account-level meetings and/or reporting to build relationships with client contacts. Mentor and guide junior members of a portfolio team to ensure a successful relationship with both the client and the Project Management team. Qualifications BA/BS degree or minimum 3 years in the litigation support / legal industry. 3 years of experience using the Relativity platform. Willingness to travel. Demonstrated experience managing multiple, concurrent projects involving cross-functional teams within budgetary and schedule constraints. Demonstrated experience coordinating project work and resources with global resources. Demonstrated ability to manage client expectations and maintain client satisfaction. A proactive approach to problem-solving and the ability to anticipate client needs. The ability to confront unexpected problems quickly and effectively. Strong teamwork, communication (written and oral), client management, and interpersonal skills. Demonstrated ability to manage project teams, including teams of supporting project managers.

Job Title: Data Architect Location: Remote Employment Type: Full-Time Reports to: Lead Data Strategist About Client / Project: Client is a specialist data strategy and AI consultancy that empowers businesses to unlock tangible value from their data assets. We specialize in developing comprehensive data strategies tailored to address core business and operational challenges. By combining strategic advisory with hands-on implementation, we ensure data becomes a true driver of business growth, operational efficiency, and competitive advantage for our clients. As a solutions-focused and forward-thinking consultancy, we help organizations transform their data capabilities using modern technology, reduce costs, and accelerate business growth by aligning every initiative directly with our clients core business objectives. Role Overview We are seeking a highly experienced Data Architect to lead the design and implementation of scalable data architectures for global clients across industries. You will define enterprise-grade data platforms leveraging cloud-native technologies and modern data frameworks. Key Responsibilities Design and implement cloud-based data architectures (GCP, AWS, Azure, Snowflake, Redshift, Databricks, or Hadoop)• Develop conceptual, logical, and physical data models Define data flows, ETL/ELT pipelines, and ingestion strategies Design and maintain data catalogs, metadata, and domain structures Establish data architecture standards, reference models, and blueprints Oversee data lineage, traceability, and audit readiness Guide integration of AI/ML pipelines and analytics solutions Ensure data privacy, protection, and compliance (e.g., GDPR, HIPAA) Collaborate closely with Engineers, Analysts, and Strategists Required Skills & Qualifications 8+ years of experience in data architecture or enterprise data platform roles Deep experience with at least two major cloud platforms (AWS, Azure, GCP) Proven hands-on work with modern data platforms: Snowflake, Databricks, Redshift, Hadoop Strong understanding of data warehousing, data lakes, lakehouse architecture Advanced proficiency in SQL, Python, Spark, and/or Scala Experience with data cataloging and metadata tools (e.g., Informatica, Collibra, Alation) Knowledge of data governance frameworks and regulatory compliance Strong documentation, stakeholder communication, and architectural planning skills Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)

Position Details Title: Data Engineer Location: Remote (U.S. Pacific Time preferred at least half of the time) Purpose of the Role The Data Engineer Contractor will play a critical role in delivering key milestones of the Procurement Data Lake Plan. This includes ingesting and transforming data from procurement systems, cleaning and organising it in Snowflake, and creating dashboard-ready datasets for Sigma Computing. The contractor will help ensure data reliability, reduce manual work, and enable automated insights for stakeholders across procurement, legal, and operations. Key Responsibilities Design, build, and maintain scalable ETL data pipelines. Ingest, clean, and standardise data from Coupa, Netsuite, IntelAgree, Zip, ProcessUnity, and Monday.com. Integrate data into Snowflake with appropriate schema and performance optimization. Enable real-time and scheduled analytics through Sigma Computing dashboards. Collaborate with procurement, legal, and data teams to meet milestone reporting needs. Ensure documentation of workflows, datasets, and dashboard requirements. Technical Requirements Advanced SQL for transformation and analytics use cases. Proficiency in Python or R for data wrangling and automation. Experience using Airflow or similar tools for orchestration. Strong understanding of Snowflake or equivalent cloud data warehouse. Proficiency in Sigma Computing/Tableau or similar BI tools: building dashboards, designing datasets, and user interactivity. Familiarity with Git and version control best practices. Preferred Qualifications Background in procurement, finance, or legal analytics. Experience with procurement tools like Coupa, IntelAgree, Zip, Netsuite, and ProcessUnity. Strong stakeholder engagement and communication skills. Agile and milestone-driven project delivery experience. Expected Deliverables Automated data pipelines for spend, contract, intake, and travel & expense data. Cleaned, structured datasets stored in Snowflake. Sigma dashboards that support milestone and executive reporting.

8+ years of experience in Python, SQL, Spark, and/or Scala Deep experience with cloud data services: GCP AWS Azure Snowflake, Databricks, or Hadoop ecosystem Apache Airflow, Prefect or Luigi Kafka, Kinesis or other streaming technologies Flexi working Work from home Health insurance Life insurance Retention bonus Leave encashment Gratuity Provident fund Course reimbursements