Senior Consultant

Job Description Job Title: Senior Consultant - EPM Introduction to role Are you ready to own the charge in redefining financial planning and analytics through advanced data solutions AstraZeneca is on the lookout for a Hyperion EPM / SAC Consultant to spearhead development, support, and FP&A IT initiatives. With a focus on AI-native capabilities, you'll engineer integrations with Oracle EPM and leverage advanced AI-powered programming tools to strengthen solution delivery, reliability, and efficiency. Dive into a role where your expertise will operationalize modern technology and drive impactful change Accountabilities - AI-Native Planning: Build and implement SAC Planning models using predictive forecasting, Smart Insights, and AI-assisted allocations; embed scenario planning based on machine learning, anomaly detection, and driver-based forecasting into FP&A workflows. - Oracle EPM solution engineering: Build and optimize Oracle EPM (PBCS/EPBCS) assetsEssbase cube design, metadata, Groovy business rules, Calc Manager logic, and EPM Automate/REST integrations, Auto-Predict, IPM, Insightswith performance tuning and test automation. - AI enablement and code generation: Systematically apply AI coding assistants for code scaffolding, refactoring, unit tests, documentation, and policy-compliant code reviews; define patterns for AI-assisted development, guardrails, and telemetry. - AI operationalization: Modernize AI models and features within SAC and EPM (feature rollout, monitoring, drift checks, retraining cadence) and integrate with enterprise data platforms (S/4HANA, BW/4HANA, Azure) for reliable pipelines. - Data engineering and integrations: Engineer robust connections, orchestration, and scheduling across SAC, Oracle EPM, SAP, and Azure; implement data quality checks, lineage, and security hardening. - Site reliability and support: Provide L3 support for planning solutions, instrument performance metrics, handle resource needs, lead transports/change control, and drive root-cause remediation. - Partner and solution leadership: Translate FP&A requirements into scalable technical developments; lead workshops, UAT, and release management; promote AI-first approaches for forecasting and data insights. - Standards and governance: Establish engineering standards, AI usage guardrails, reusable accelerators, and CI/CD for EPM/SAC assets; codify cross-utilization of AI across planning, analytics, and reporting use cases. - Documentation and enablement: Produce technical runbooks, architecture diagrams, and user guides; train Finance teams on AI-powered planning and insight generation. Essential Skills/Experience - Experience: 610 years in EPM with hands-on delivery in SAP Analytics Cloud (Planning) and Oracle EPM. - Technical skills: - SAC Planning: Model design, advanced formulas, data actions, predictive forecasting, allocations, workflows, calendar, and performance optimization. - Oracle EPM: EPBCS/PBCS - Planning/Essbase design, Groovy rules, Calc Manager, metadata management, security, and integrations. - Data & integrations: EPMAgent/ODI/Python/SAP S/4HANA/BW, Azure data services, OData/APIs, scheduling/orchestration, and data reliability engineering. - AI Engineering: Practical use of GitHub Copilot and code assistants for development; familiarity with Python/R for ML prototyping; MLOps concepts (versioning, monitoring, retraining) applied to planning contexts. - Domain knowledge: FP&A processesbudgeting, forecasting, driver-based planning, OPEX/CAPEX, Revenue modelling; understanding of consolidation touchpoints. - Methods: Agile delivery, test automation, performance tuning, and secure coding practices. - Soft skills: Stakeholder management, workshop facilitation, clear communication, and ability to translate finance requirements into technical solutions. Desirable Skills/Experience - SAP: Smart Predict, Data Analyzer, Story 2.0, SAC add-in for Excel, predictive planning patterns. - Oracle: FCCS, ARCS, Narrative Reporting, Workforce/Capex modules, and performance benchmarking. - AI & analytics: Experience embedding ML into planning cycles (demand forecasting, anomalies, price/volume/mix modelling) and building AI-assisted workflows for FP&A. - Security & compliance: Role-based access, auditability, and governance within regulated environments. - Certifications: SAP SAC Planning and credentials related to Oracle EPM Cloud. At AstraZeneca, we are committed to redefining the industry with innovative solutions that have a direct impact on patients lives. Our work combines ground breaking science with leading digital technology platforms to empower the business to perform at its peak. Join us as we embark on a journey to become a digital and data-led enterprise. Here you'll find opportunities to innovate with groundbreaking technology in a dynamic environment that encourages experimentation. We foster a culture of lifelong learning where a diverse set of minds work inclusively together to drive change. Ready to make a difference Apply now to join our team Date Posted 20-Nov-2025 Closing Date AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.