Business Manager - BIZMGR

1.Job title: BUSINESS MANAGER 2.Job summary: Business Manager role in a multinational organization focused on delivering large scale data engineering and analytics programs using PySpark, Azure Data Factory and Databricks within a hybrid work model. The role spans business planning, stakeholder engagement and outcome driven delivery for complex data platforms in a day shift environment. 3.Experience: 12to16Yrs 4.Required Skills: 5.Nice to have skills: 6.Technology: -Not Applicable 7.Shift: Day 8.Responsibilities: - Drive end to end planning and execution of data platform initiatives using PySpark Azure Data Factory and Databricks to deliver scalable and reliable business solutions that align with strategic objectives - Coordinate hybrid work schedules for project teams to maintain productivity collaboration and continuity while respecting organizational policies and individual constraints - Translate complex business requirements into structured data engineering roadmaps ensuring that PySpark and Azure based solutions directly enable measurable outcomes for stakeholders - Collaborate with data architects and engineering teams to design reusable frameworks in Databricks and Azure Data Factory that improve development efficiency and reduce time to market for analytics products - Monitor program financials resource utilization and delivery milestones to ensure data initiatives stay within budget timelines and quality expectations while maximizing business value - Engage with cross functional stakeholders across business and technology units to prioritize backlogs clarify expectations and resolve dependencies for data engineering deliverables - Establish performance metrics for PySpark and Databricks workloads and coordinate tuning efforts so that data pipelines run efficiently and support reliable reporting and advanced analytics - Oversee adherence to organizational governance privacy and compliance standards for all Azure based data solutions ensuring that data handling practices are auditable and risk aware - Guide the adoption of standard development practices code review patterns and documentation norms so that data engineering teams can maintain consistent high quality deliverables - Coordinate issue resolution and incident response for business critical data pipelines by aligning engineering teams and stakeholders to minimize downtime and protect data driven operations - Communicate program status risks and mitigation plans through structured updates that help senior stakeholders understand progress impacts and decisions related to data initiatives - Identify opportunities to reuse components data assets and patterns across PySpark Azure Data Factory and Databricks projects to reduce duplication and improve long term maintainability - Support change management activities by preparing impact assessments training materials and transition plans to help business users adopt new data products and insights driven ways of working -Qualifications - Demonstrate extensive experience in managing data engineering or analytics programs with at least twelve years in technology driven environments and exposure to complex enterprise scale initiatives - Possess strong hands on understanding of PySpark including distributed data processing optimization concepts and practical usage in production grade data platforms - Bring solid experience with Azure Data Factory including orchestration of pipelines integration runtimes and management of data flows across diverse on premises and cloud sources - Show proven background working with Databricks for collaborative development cluster configuration and deployment of notebooks jobs and reusable components in large organizations - Apply practical knowledge of cloud data architectures on Azure including storage options security considerations and integration patterns relevant to enterprise data platforms - Utilize effective stakeholder management communication and negotiation skills to align business expectations with technical capabilities and to drive consensus on priorities - Display ability to oversee estimation planning risk management and reporting activities for multi track data projects while ensuring that commitments are realistic and transparent - Demonstrate experience working in hybrid work models coordinating distributed teams and using digital collaboration tools to maintain alignment and productivity across locations - Exhibit familiarity with modern development practices including version control testing strategies and documentation standards relevant to data engineering teams - Maintain awareness of emerging trends in data engineering analytics and cloud technologies and apply relevant advancements to improve efficiency reliability and value delivery - Value diversity and inclusive collaboration practices creating an environment where different perspectives are welcomed and used to enhance solution quality and societal impact 9.Job Location: Primary:USNJBREA01 Bridgewater,NJ-SomrsetBlvd-COG Alternate:, 10.Job Type: 50CW01 Business Associate -BC 11.Demand Requires Travel?: N 12.Certifications Required: NA 13.Work Model: Hybrid 14.Sub Contractor allowed: Y