Role Overview We are seeking an experienced SAP BPC Consultant with strong expertise in financial planning, budgeting, forecasting, and consolidation. The role involves end-to-end implementation, configuration, and support of SAP BPC solutions (both Standard and Embedded models) to meet business requirements and improve financial performance management. Key Responsibilities: 4 – 12 Years Gather and analyze business requirements for Planning, Budgeting, Forecasting, and Consolidation processes. Design, configure, and implement SAP BPC (Standard/Embedded/Optimized for S/4HANA) solutions. Develop data models, reports, input schedules, and dashboards for financial reporting and planning. Work closely with Finance and Controlling (FICO) teams to integrate BPC with SAP ECC/S4 HANA. Manage Master Data, Business Process Flows, and Security/User roles in BPC. Perform consolidation tasks including ownership management, currency conversion, intercompany eliminations, and adjustments. Support script logic, BAdIs, FOX formulas, and BW/BI integration. Provide end-user training, documentation, and post-implementation support. Collaborate with business stakeholders and technical teams to ensure system performance, enhancements, and upgrades. Mandatory Skills: Strong hands-on experience in SAP BPC 10.1/11.x (Standard and Embedded models). Experience in Financial Consolidation (legal and management) and Planning applications. Expertise in SAP BW/BI, data modeling, and integration. Knowledge of script logic, BAdI implementation, and FOX formulas. Experience in Business Process Flows (BPFs), input forms, and EPM/Analysis for Office. Strong knowledge of finance processes (P&L, Balance Sheet, Cash Flow, Budgeting, Forecasting, Cost Center, Profit Center). Good to Have (Preferred Skills) Experience with SAP S/4HANA Group Reporting. Exposure to SAP Analytics Cloud (SAC Planning). Experience with HANA Studio, SQL scripting, and performance optimization. Knowledge of integration with non-SAP systems. Familiarity with Agile project methodologies. Qualifications: Bachelor’s or Master’s degree in Finance, Accounting, IT, or related field. SAP BPC certification is an added advantage. Location: Hyderabad (work from office)
About the Role: We are seeking a skilled SAP BASIS Consultant to join our dynamic SAP team. The ideal candidate will be responsible for the administration, configuration, and maintenance of the SAP systems across development, testing, and production environments. You will play a pivotal role in ensuring system stability, performance, and availability while supporting ongoing projects and system upgrades. Key Responsibilities: Install, configure, upgrade, and maintain SAP systems (ECC, S/4HANA, BW, PI/PO, Solution Manager, etc.). Perform system copies, client administration, transport management, and background job scheduling. Monitor SAP systems using tools like Solution Manager, CCMS, or third-party monitoring tools. Manage SAP kernel upgrades, patch application, and database administration (HANA, Oracle, or MS SQL). Perform user administration and role/profile management in coordination with the security team. Work closely with functional and development teams to support application changes and deployments. Troubleshoot system performance issues and provide root cause analysis and resolution. Participate in SAP system migrations, upgrades, and backup/recovery strategies. Ensure high availability and disaster recovery preparedness for SAP environments. Maintain documentation related to system configuration, architecture, and standard operating procedures. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. 5+ years of hands-on experience in SAP BASIS administration. Proven experience with S/4HANA, ECC, or Suite on HANA environments. Strong knowledge of SAP installation, configuration, and tuning on Unix/Linux and Windows platforms. Experience in SAP HANA database administration and troubleshooting. Familiarity with SAP Fiori, Web Dispatcher, Gateway, and SSL configuration. Proficient in managing transport requests, client strategy, and change management. Good understanding of cloud platforms (AWS, Azure, or GCP) for SAP landscape. Experience with SAP Solution Manager (7.2) for system monitoring and diagnostics. Excellent problem-solving, communication, and documentation skills. Preferred Qualifications: SAP Certified Technology Associate in SAP BASIS or SAP HANA. Experience with SAP BTP (Business Technology Platform). Exposure to automation tools and scripting (Shell, Python). Familiarity with ITIL processes and Agile/Scrum methodology.
Project Manager – Data & AI Location: Hyderabad (Onsite) Work Arrangement: Onsite/Hybrid/Remote (as applicable) Experience Level: 5+ years (with at least 3–4 years managing Data/AI projects) Role Summary: We are seeking a highly skilled Project Manager – Data & AI to lead the execution of data-driven and AI/ML initiatives across the organization. The candidate will be responsible for end-to-end project delivery, stakeholder management, and ensuring AI/ML solutions are implemented successfully to drive measurable business outcomes. Key Responsibilities: Project Management & Delivery Manage the end-to-end lifecycle of Data & AI projects, including planning, execution, monitoring, and closure. Define project scope, timelines, budgets, and deliverables while ensuring alignment with business goals. Drive adoption of Agile/DevOps methodologies for faster, iterative AI/ML project execution. Stakeholder Management Collaborate with business stakeholders, data scientists, AI engineers, and product managers to define requirements. Act as a bridge between technical teams and business units, translating complex AI/ML concepts into business terms. Provide regular updates to leadership on progress, risks, and mitigation strategies. Data & AI Solution Delivery Oversee the development, testing, deployment, and monitoring of AI/ML models and data pipelines. Ensure compliance with data governance, privacy, and ethical AI guidelines. Evaluate third-party AI tools, cloud solutions, and platforms (Azure, AWS, GCP, Databricks, etc.) for project suitability. Risk & Quality Management Identify risks early and develop mitigation plans to avoid project delays. Ensure quality standards for data accuracy, AI model performance, and scalability are met. Conduct project retrospectives and implement lessons learned to improve future delivery. Team Leadership & Collaboration Lead cross-functional teams of data engineers, AI/ML engineers, analysts, and business stakeholders. Mentor and guide team members in best practices for data-driven project execution. Foster a culture of innovation and continuous improvement. Required Skills & Qualifications: Education: Bachelor’s/Master’s in Computer Science, Data Science, AI/ML, or related field. Project Management: Proven experience managing large-scale Data & AI projects using Agile/Scrum methodologies. Technical Understanding: Knowledge of data engineering, data analytics, and machine learning workflows. Familiarity with tools such as Databricks, Azure AI, AWS Sagemaker, GCP Vertex AI, Power BI, or Tableau . Understanding of MLOps, RAG (Retrieval-Augmented Generation), and Generative AI concepts. Certifications (preferred): PMP, PRINCE2, Agile/Scrum Master, or Cloud certifications (Azure/AWS/GCP). Soft Skills: Strong communication, stakeholder management, analytical thinking, and problem-solving skills.
𝐀𝐛𝐨𝐮𝐭 𝐔𝐬: AutomatonsX is a new-age brand from CtrlS-Cloud4C group, mission-focused on architecting and delivering intelligent automations for large-scale organizations in key industries. We go beyond regular RPA, rendering hyperautomation solutions powered by data transformations and deep analytics, autonomous platforms, and GenAI innovations. From manufacturing, healthcare, energy, BFSI, logistics industries to the BUs under them, we envision helping leaders smartly automate redundant processes at scale and improve productivity multi-fold, freeing up human resources for critical business and creative activities. Backed by CtrlS-Cloud4C group, the leading rated-IV datacenter and application-focused multi-cloud MSP globally, our experts have saved 1.2 million man hours and supported 5X faster GTMs. That's only the tip of the iceberg! Make your enterprise ready for the intelligent wave. Unlock the X-factor in business growth with the powerful integration of Analytics, AI, and Automation. Job Summary: We are seeking a highly skilled Senior Data Engineer to join our data engineering team. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and architectures. You will work closely with data analysts, data scientists, and business stakeholders to deliver high-quality data solutions that support analytical and operational use cases. Key Responsibilities: Design, build, and maintain scalable data pipelines and systems. Develop and optimize ETL/ELT processes for data ingestion, transformation, and loading. Collaborate with cross-functional teams to understand data needs and deliver reliable data solutions. Ensure data quality, integrity, and security across all platforms. Implement and monitor data infrastructure using cloud-based solutions (AWS, Azure, or GCP). Work with large datasets using technologies such as Spark, Kafka, and Hadoop. Develop data models and maintain data dictionaries. Drive automation and performance improvements across the data platform. Mentor junior team members and contribute to best practices and technical standards. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 3+ years of experience in data engineering or related fields. Proficiency in SQL and one or more programming languages (Python, Scala, Java). Hands-on experience with big data technologies like Spark, Hadoop, Hive, Kafka. Experience with cloud data services (AWS Redshift, Azure Synapse, GCP BigQuery). Strong understanding of data modeling, warehousing, and distributed systems. Familiarity with CI/CD and DevOps practices in data engineering. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with workflow orchestration tools (e.g., Airflow, Luigi). Familiarity with data governance and compliance practices. Background in real-time data streaming and event-driven architecture