Manager, SAP S4 Public Cloud SAC Lead
KPMG US
Cleveland, OH, USA
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
KPMG is currently seeking a Manager, SAP S4 Public Cloud SAC Lead in Enterprise Solutions for our Advisory Services practice.
Responsibilities:
- Lead the design and implementation of data and analytics solutions leveraging SAP Analytics Cloud (SAC), SAP BTP, Datasphere, and Databricks to enable integrated analytics across SAP S/4HANA Public Cloud and connected enterprise systems.
- Lead the development of SAC based analytics use cases for planning, financial and operational reporting, and predictive insights, ensuring alignment with client performance management and decision support objectives.
- Enable intelligent and AI driven analytics capabilities by incorporating SAP Joule, machine learning, and advanced analytics patterns to support insight to action and improved business outcomes.
- Oversee data integration and analytics pipelines, including ETL processes, staging approaches, and real time data flows between SAP and non SAP platforms using SAP BTP and Databricks.
- Support client SAP S/4HANA Public Cloud transformation initiatives by contributing to analytics solution design, estimating analytics workstream scope, and providing technical expertise during sales pursuits and delivery execution.
- Provide guidance and oversight to data and analytics team members by assigning work, reviewing deliverables, and driving adoption of reusable templates, accelerators, and automation frameworks.
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
- Minimum of six years of recent external management consulting experience in SAP data and analytics, including involvement in at least two full lifecycle SAP S/4HANA Public Cloud implementation with responsibility for shaping the data and analytics workstream scope and solution approach, including support during sales pursuits.
- Experience designing and supporting at least two SAP S/4HANA Public Cloud implementations involving data integration and analytics architectures using SAP BTP, Datasphere, and Databricks, including ETL processing, data orchestration, and hybrid SAP and non SAP landscapes.
- Demonstrated experience delivering SAP Analytics Cloud (SAC) solutions for planning, management reporting, and advanced analytics, aligned to enterprise performance management and decision support objectives.
- Working knowledge of AI enabled analytics capabilities, including SAP Joule and machine learning driven insights, with experience supporting intelligent automation and predictive use cases.
- Strong understanding of data architecture, modeling, governance, and security principles as applied to SAP centric, multi cloud, and hybrid analytics environments.
- Proven ability to lead and mentor analytics focused teams, contributing to delivery quality and efficiency through reusable analytics assets, integration patterns, and automation accelerators.
- Bachelor's degree from an accredited college or university in Computer Science, Information Systems, Data Engineering, or a related field.
- Ability to travel up to 50-80%
- Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.