Synergis

Company Name: Synergis
Job Title: Business Analyst
Job Description: Job Title: Business Analyst Role Summary: Owns the Last Mile Delivery SaaS platform as the primary Business Analyst, translating business needs into functional requirements and optimizing platform configuration while ensuring seamless integration with ERP/core systems. Expectations: Independently conduct discovery, drive stakeholder conversations, document requirements in Jira/Confluence, and deliver actionable solutions with minimal oversight. Key Responsibilities: - Partner with business leaders to uncover pain points and define requirements. - Map data flows for order, delivery, and proof‑of‑delivery between the SaaS platform and upstream ERP systems. - Configure and optimize platform settings with minimal custom development. - Capture and maintain business requirements, user stories, and process maps in Jira and Confluence. - Facilitate discovery sessions, workshops, and requirement reviews with business and technical stakeholders. - Ensure accurate data integration and workflow alignment across systems. Required Skills: - Proven Business Analyst experience in SaaS platform environments. - Strong business process analysis and requirements elicitation. - Familiarity with ERP systems and integration flows. - Proficiency in Jira and Confluence for documentation and tracking. - Effective stakeholder engagement and facilitation skills. - Excellent organizational and communication abilities; self‑directed. Required Education & Certifications: - Bachelor’s degree in Business, Information Systems, Computer Science, or related field. - Relevant certifications (e.g., CBAP, PMI‑ACP, or Jira Administrator) are advantageous but not mandatory.

Smyrna, United states

Hybrid

05-01-2026

Company Name: Synergis
Job Title: Data Analyst
Job Description: Job title: Data Analyst Role Summary: Deliver daily, weekly, and monthly analytics reports on revenue, spend, and growth opportunities to senior sales management. Integrate data from multiple platforms, perform advanced analysis to uncover trends, and create actionable insights that support yield improvement. Expactations: - Provide accurate, timely reports and ad‑hoc analyses. - Communicate findings clearly to both technical and non‑technical stakeholders. - Meet strict deadlines and maintain high data quality. - Adapt communication style to audience needs. - Support internal performance tracking and reporting initiatives. Key Responsibilities: - Prepare and present daily, weekly, and monthly sales performance reports. - Extract, merge, and format data from various platform query tools into a single dataset compatible with the analytics platform. - Conduct in‑depth data analysis to identify trends and opportunities for revenue yield improvement. - Create and maintain ad‑hoc reports as required by internal teams. - Utilize Excel, VBA/macros, SQL, and data visualization solutions to support reporting and analysis. Required Skills: - Advanced Excel expertise (pivot tables, VLOOKUPs, complex formulas). - Knowledge of VBA, macros, and/or SQL. - Proficiency with data visualization tools such as Looker, Tableau, or similar. - Strong analytical and problem‑solving capabilities. - Clear, concise written and verbal communication; ability to tailor technical content to varied audiences. - Detail orientation, strong time‑management, and ability to meet deadlines. Required Education & Certifications: - Bachelor’s degree in Business Analytics, Statistics, Economics, Computer Science, or related field (or equivalent professional experience). - Certifications in Excel, SQL, or data visualization tools are preferred but not mandatory.

New york city, United states

Hybrid

05-01-2026

Company Name: Synergis
Job Title: AI Change and Enablement Leader
Job Description: Job title: AI Change and Enablement Leader Role Summary: Senior leader responsible for driving enterprise-wide adoption of agentic AI across business, IT, and analytics functions. Owns strategy and execution of change management and enablement programs that build AI literacy, operationalize responsible AI practices, and translate governance into everyday behavior. Expectations: - Deliver structured change initiatives that move the organization from experimentation to sustained, scalable AI impact. - Unify and simplify disparate training content into cohesive, role‑based learning paths. - Operationalize AI governance, guardrails, and standards into actionable guidance for delivery teams. - Scale pilot programs to enterprise deployment through continuous feedback and refinement. - Measure adoption, usage, and value metrics to demonstrate impact and inform continuous improvement. - Foster cultural alignment across central AI Hub and federated business/IT teams through ambassador programs. Key Responsibilities: 1. Lead enterprise AI adoption and behavior change initiatives. 2. Design role‑based enablement and learning programs (playbooks, templates, labs). 3. Consolidate and curate AI learning assets across LMS, vendor decks, internal playbooks, and product notes. 4. Translate AI governance policies into practical, usable artifacts for delivery teams. 5. Partner with product, engineering, and business stakeholders to onboard early adopters and scale AI solutions. 6. Define, track, and report adoption, usage, and impact metrics. 7. Act as a cultural connector between AI Hub and federated teams. 8. Build and manage ambassador or champion networks to scale training and engagement. Required Skills: - 10+ years leading large‑scale technology or process change initiatives. - Deep expertise in structured change management methodologies (e.g., Prosci ADKAR, Kotter). - Proven experience driving technology adoption across enterprise‑scale, diverse teams. - Strong background in learning design, enablement strategy, or workforce transformation. - Ability to simplify complex technical and governance concepts into clear guidance. - Data‑driven mindset with experience defining and measuring adoption and impact metrics. - Exceptional communication, facilitation, and stakeholder management capabilities. Required Education & Certifications: - Bachelor’s degree in Business, Education, or a related field (Master’s preferred). - Advanced certifications in change management, learning design, or AI governance (e.g., Prosci Certified Change Practitioner, Society for Human Resource Management Credential, or equivalent) are preferred.

Atlanta, United states

Hybrid

Senior

12-01-2026

Company Name: Synergis
Job Title: AI/ML Azure DevOps Engineer
Job Description: Job Title: AI/ML Azure DevOps Engineer Role Summary: Design, automate, and maintain cloud-native infrastructure and CI/CD pipelines for enterprise AI/ML initiatives using Azure services and IaC tools. Expectations: - Deliver repeatable, compliant environments for AI/ML workloads. - Own and evolve the MLOps framework, ensuring lifecycle governance and operational standards. - Collaborate with cross-functional teams to build reusable AI components and services. Key Responsibilities: - Lead architecture and implementation of Azure-based AI/ML infrastructure. - Build and maintain CI/CD pipelines for model training, deployment, and monitoring. - Utilize IaC (e.g., Terraform, ARM) to provision and manage scalable environments. - Implement security and compliance controls across AI/ML systems. - Integrate MLflow or equivalent lifecycle management tools. - Develop and manage scalable data pipelines with Databricks and Apache Spark. - Provide guidance on best practices for reusable AI services and low‑code interfaces. Required Skills: - 5+ years in cloud engineering or DevOps; 2+ in MLOps or ML engineering. - Deep experience with Azure, including Azure ML services and DevOps tooling. - Strong Python development skills; familiarity with PyTorch, scikit‑learn, or similar. - Proficiency in SQL and relational/NoSQL database concepts. - Experience with MLflow, Databricks, Apache Spark, and scalable data pipelines. - Knowledge of IaC tools (Terraform, ARM templates). - Competence in enterprise security and compliance practices. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - Azure certifications (e.g., Microsoft Certified: Azure DevOps Engineer Expert, Azure AI Engineer Associate) preferred.

Atlanta, United states

Hybrid

Fresher

12-01-2026

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