ERP Project Manager (Oracle / SAP)

ERP Project Manager (Oracle / SAP)

This role will lead complex ERP initiatives across business functions, ensuring successful execution from planning through deployment and post-go-live support.

Key Responsibilities

• Lead end-to-end delivery of Oracle ERP implementation and transformation projects
• Manage full project lifecycle: requirements gathering, solution design, development, testing, deployment, and hypercare support
• Act as the primary interface between business stakeholders, technical teams, and implementation partners
• Define project scope, objectives, governance structure, and success criteria
• Develop and manage detailed project plans, schedules, budgets, and resource allocation
• Identify, track, and mitigate project risks, issues, and dependencies
• Coordinate across internal teams, Oracle consultants, and external vendors
• Ensure adherence to Oracle ERP best practices, architecture standards, and delivery governance
• Manage change control processes and ensure effective stakeholder communication at all levels
• Oversee training, user adoption, and transition to support/operations teams
• Provide regular project status reporting, KPIs, and executive-level updates

Required Qualifications

• 10+ years of overall experience in IT / ERP domain
• Strong hands-on experience in Oracle ERP implementations (mandatory)
• Currently working as a Project Manager handling ERP programs
• Prior experience in SAP ERP project delivery is required but secondary to Oracle
• Deep understanding of ERP modules such as Finance, Supply Chain, Procurement, HR, or Manufacturing
• Proven experience managing full-cycle ERP implementations in complex enterprise environments
• Experience working with Agile, Waterfall, or hybrid delivery methodologies
• Strong stakeholder management and executive communication skills
• Demonstrated ability to manage multiple priorities in fast-paced environments
• Strong analytical, problem-solving, and decision-making abilities

Preferred Qualifications

• PMP / PRINCE2 or equivalent certification
• Oracle ERP Cloud or Oracle E-Business Suite certification
• SAP certification (added advantage)
• Experience in global or multi-country ERP rollouts
• Familiarity with structured change management methodologies

Core Skills

• Oracle ERP Program Delivery (Primary)
• SAP ERP Project Exposure (Secondary)
• Leadership & Team Management
• Vendor & Stakeholder Management
• Budgeting & Financial Governance
• Risk & Issue Management
• Strategic Planning & Execution
• Communication & Negotiation Skills

Role Overview (Data Engineer)

We’re looking for a skilled Data Engineer to design, build, and optimize scalable, cloud-native data pipelines on Google Cloud Platform (GCP). The role involves extensive work with Apache Airflow, Spark, Python, and Scala to develop high-performance data solutions supporting analytics, streaming, and generative AI initiatives.

Key Responsibilities (Data Engineer)

• Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.
• Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC).
• Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake).
• Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms.
• Apply modern Test Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logic.
• Apply data mesh and data-as-a-product principles to enable reusable and domain-driven datasets.
• Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies
• Optimize data performance, scalability, and cost efficiency across GCP components.
• Ensure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPA.
• Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement.
• Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products

Required Qualifications (Data Engineer)

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
• 5+ years of hands-on experience with large-scale data engineering in cloud environments.
• Advanced skills using Python, Scala, Spark ecosystem, SQL to build data pipelines
• Strong GCP expertise (BigQuery, Bigtable, Dataproc, Pub/Sub, IAM, VPC).
• Proficiency in SQL/NoSQL modeling and data architecture for cloud data lakes.
• Familiarity with streaming frameworks (Kafka, Flume).
• Experience handling sensitive data and ensuring regulatory compliance.
• Working knowledge of Docker, CI/CD, and modern DevOps practices for data platforms.

Preferred Qualifications (Data Engineer)

• Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
• Contributions to open-source projects or internal developer tooling.
• Prior experience building Customer Data Platforms (CDPs) inhouse
• Experience with AI-assisted developer tools (for example, IntelliJ plug-ins using OpenAI or Anthropic models), Codex CLI, Windsurf

Job Type

Full-time

Pay

$90,503.61-$150,613.77 per year

Experience

• SAP ERP: 1 year (preferred)
• oracle: 3 years (preferred)

Work Location

Remote