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Project Manager

• Own day-to-day project management and workback planning across all client workstreams by tracking what is shipping, when, who owns it, and what is blocked
• Create communications for team BOM as needed, including call for content, pre-reads, recaps, agendas, and execution plans
• Maintain and build all team workstream calendars, operational frameworks, workback plans, and execution plans, including SharePoint list tracking system
• Drive needed rhythms to document and track any shifting timelines, stakeholders, or requirements and drive needed client stakeholder alignment to track task completion, flag changes/risk, and ensure deliverables are ready when needed
• Develop workbacks, assets, and communications to track budget spend
• Maintain comprehensive checklist and workback plan with milestone tracking, progress updates, and action items for all key moment/events
• Produce and update process documentation frameworks and guidelines quarterly
• Maintain a Teams/SharePoint repository for all assets and documentation

Marketing Project Manager

Full-stack Engineer

• Collaborate with infrastructure, cloud, and security teams to ensure reliable orchestration at scale
• Implement and maintain Ping Identity solutions for seamless SSO, MFA, and adaptive authentication.
• Develop and maintain authentication policies, selectors, and adapters to support complex user journeys.
• Leverage PingOne DaVinci to orchestrate low-code identity workflows and integrate third-party security services.
• Utilize Ping REST APIs and scripting (e.g., Python, Bash) to automate operational tasks, monitoring, and administrative functions.
• Support Joiner-Mover-Leaver (JML) processes by integrating Ping stack components with upstream identity sources and downstream SPs.
• Collaborate with App Owners and Security teams to migrate legacy applications to modern protocols (OIDC/OAuth 2.0/SAML2.0/SCIM).
• Troubleshoot complex authentication issues, latent LDAP queries, and synchronization errors across the Ping ecosystem.
• Create and maintain technical documentation, architecture diagrams, and automated operational run books.

IAM Software Engineer

• Ensure delivery frameworks, governance standards, and reporting practices are consistently followed across all client engagements.
• Track and report on project performance, including timelines, risks, dependencies, and delivery metrics, providing visibility to leadership and stakeholders, both internally and client-facing.
• Maintain centralized project documentation and artifacts to support auditability, scalability, and delivery maturity.
• Facilitate intake, prioritization, and resource planning processes for partner automation and ecosystem platform initiatives.
• Identify process gaps and recommend improvements to strengthen delivery consistency, quality, and operational efficiency.
• Manage multiple projects in parallel, ensuring project teams have visibility and clarity to competing priorities

Data Engineer

• Build and manage reliable data pipelines covering ingestion/collection, processing, integration, storage, and data provisioning across the organization.
• Work within a distributed systems architecture for massive parallel processing (MPP), combining multiple heterogeneous data sources and collaborating with analytics and data science teams to build solutions and drive data-driven value.

Mid-level Data Engineer

Consultant

• Act as a bridge between business users and the technical team, ensuring a clear understanding of processes and requirements.
• Elicit, analyze and document functional requirements together with users.
• Configure and parameterize Dynamics 365 CE, with a focus on the Sales module.
• Support the adoption and use of Dynamics 365 Sales + Dynamics Copilot features.
• Lead meetings with users, workshops and functional clarification sessions.
• Support functional testing (UAT) and validation of delivered solutions.
• Guide end users after go-live, assisting with questions and continuous improvements.
• Produce functional documentation (processes, flows, manuals and specifications).
• Collaborate with developers and architects to ensure the solution meets functional requirements.

Dynamics 365 CE Functional Consultant – Mid-level

Data Analyst

• Analyze large volumes of data (sell-in, sell-out, on-trade, commercial incentives), ensuring quality, consistency, and traceability.
• Develop, enhance, and maintain Power BI dashboards and reports, with a focus on performance, visual standardization, and executive storytelling.
• Collaborate to understand business needs across commercial, planning, supply chain teams and global stakeholders.
• Perform data consolidation and modeling for analytical consumption (semantic layers and dimensional models).
• Support commercial planning initiatives, KPI monitoring, and management of incentive programs.
• Execute ad hoc analyses, exploratory studies, and provide analytical support to internal teams.
• Contribute to governance, audit, and data quality practices, working alongside vendors and technical teams.
• Report status, risks, and progress of data and BI deliverables.

Mid-level Data Analyst – Power BI

Frontend Engineer

• Work with highly critical and complex international projects
• Collaborate with senior team members on global projects
• Develop applications using React and other technologies

Mid-level React Developer

Machine Learning Engineer

• Build and deliver scalable systems that incorporate machine learning and Generative AI capabilities.
• Create, evaluate, and deploy machine learning solutions, including applications powered by large language models.
• Establish and maintain datasets, testing strategies, and validation approaches to ensure model accuracy and stability.
• Partner with product and engineering teams to translate business needs into practical, deployable AI solutions.
• Integrate machine learning components into existing platforms and services.
• Develop and manage automated pipelines that support continuous integration and delivery of machine learning solutions.
• Monitor performance in production environments and refine systems based on real-world usage.

AI/ML Engineer, AWS

• Work directly with clients to understand business goals, data challenges, and technical requirements.
• Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews.
• Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
• Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases.
• Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks.
• Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security.

• Act as a business consultant to help customers achieve their objectives
• Problem solve with an extraordinary technical and functional understanding of business processes
• Support end users from a functional and/or technical perspective
• Troubleshoot and configure SAP QM, including integration points with other modules
• Lead fit/gap and other types of working sessions
• Prepare clear and concise documentation
• Proactively identify risks and develop strategies to mitigate potential issues
• Provide knowledge transfer to clients and fellow consultants

Marketing Project Manager

Marketing Project Manager

IAM Software Engineer

IAM Software Engineer

Project Manager

Project Manager

Mid-level Data Engineer

Dynamics 365 CE Functional Consultant – Mid-level

Mid-level Data Analyst – Power BI

Mid-level React Developer

AI/ML Engineer, AWS

AI/ML Engineer, AWS

AI/ML Engineer, AWS

Data Engineer

Senior SAP QM Consultant