Assistant Manager - Production Support and SAP Analytics Cloud

Assistant Manager

Managed Services is a pivotal component in KPMG's Global Advisory growth strategy. We offer an opportunity to lead the premium end of the managed services market through our human capabilities, stand-out technology-enabled facility, insights, operational excellence, and strategic alliances. 

 

The KPMG Global Services (KGS) Managed Services team is a diverse group of more than 1,400 professionals. We provide consulting services to KPMG Firms worldwide to support clients' business transformation journeys across various industries. With capabilities such as Technology Enablement, Corporate Services, Customer and Operations, and Cross-Functional Services, our team is a varied mix of professionals with extensive skills and expertise.

 

Through your work, you'll build a global network and unlock opportunities that you may not have thought possible with access to great support, vast resources, and an inclusive, supportive environment to help you reach your full potential.

As a firm, we are deeply committed to diversity, inclusion and equity at our workplace. We offer a safe and inclusive environment built on trust, where our multi-generational colleagues can bring their authentic selves to work and know that their uniqueness is valued.

We foster an inclusive workplace with gender-inclusive policies and practices, parental support programs, LGBTQ+ friendly initiatives, an accessible work environment and dedicated Employee Resource Groups to promote allyship and advocacy.

we encourage fair treatment of applicants and employees and do not support any form of discrimination, including but not limited to caste, religion, color, ancestry, marital status, medical condition, sex, gender identity or expression, sexual orientation, age, nationality, cultural origin, family or parental status, defense veterans, physical, mental or sensory disability or
any other status or characteristic protected by applicable Indian laws and regulations. 

Incident and Problem Management: Act as the primary escalation point for complex or critical production issues in SAC applications, ensuring timely resolution within agreed Service Level Agreements (SLAs).

Team Leadership: Lead, mentor, and guide a team of production support analysts, planning and prioritizing their workload and managing on-call schedules.

Troubleshooting and Analysis: Diagnose and troubleshoot complex technical issues across the application stack (data integration, data modeling, reporting, etc.) using advanced query and programming skills.

Root Cause Analysis (RCA): Conduct thorough RCA to identify underlying causes of recurring problems and implement preventative measures to enhance system resilience.

Collaboration and Communication: Work closely with business stakeholders, development teams, QA, and infrastructure teams to ensure effective communication, proper deployment of updates, and seamless support.

Monitoring and Health Checks: Oversee the monitoring of SAC systems using specialized tools (e.g., Splunk, Dynatrace) to proactively detect performance issues or anomalies.

Documentation and Governance: Create, review, and maintain comprehensive documentation, including runbooks, knowledge base articles, and standard operating procedures (SOPs).

Continuous Improvement: Identify opportunities for automation and process optimization to improve operational 

Typically requires 8-10+ years of relevant experience in production support, with significant hands-on experience in SAP Analytics Cloud (Planning and/or BI) and integration with other SAP/non-SAP systems (e.g., SAP BW/4HANA, S/4HANA, BPC).

 

Mandatory  technical & functional skills

• •Functional Skill – Banking Domain. • •Experience in SAP Analytics cloud (SAC) features like stories, data modeling, data actions, planning modules. •Analyzing Production issues, troubleshooting and fixing issues. •Experience with ITSM tools (ServiceNow, Jira).

Proving user support, helping them in resolving issues

 

Preferred technical & functional skills

•Good to have basic understanding Datasphere – seamless Planning  

Key behavioral attributes/requirements

•Excellent problem-solving, analytical, and communication skills are essential for collaborating with cross-functional teams and managing stakeholders.

Experience Level

Senior Level