Lead Data Analyst - Profiling & Cleansing

Responsibilities

• Ensure alignment across Digital Core Release 4(R4) Internal & External Stakeholders on program milestones and deliverables for the Data Cleansing workstream.
• Looking for 12-18 years of experience in SAP Project Management
• Serves as the project manager for the Data profiling & cleansing execution.
• Develops a R4 DC cleansing roadmap with clear internal milestones across functional Data teams and BU cleansing PM.
• Tracks and reports out the progress on profiling and cleansing activities across the enterprise (DC, BU, SS) which rolls up into the program updates.
• Plans and Coordinates requirements gathering for profiling and cleansing.
• Can explain execution details, outcomes and connect the dots across DC ARTs PMs, DC Data POs and BU PMs
• Conducts X-functional retros within DC and influence data teams' execution tactics proactively.
• Support Data Cleansing Workstream Readiness and coordination with testing, cutover and deployment workstreams.
• Risks and Issues resolution
• Conduct training and onboarding of new BUs and new members on the data cleansing workstream
• Required Skill
• Senior Project Management - milestones driven (not agile)
• Experience in JDE OR SAP - ECC OR S/4 data models.
• Proven experience with ERP data transformations - master data standardization, conversion, migration or cutover areas
• Experience engaging Business stakeholders
• Preferred Skill
• Specific knowledge of JDE and S/4 preferred
• Process automation (RPA, AI, dashboarding, etc...)
• Education
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
• What we can offer you
• Everything we do at Chevron is guided by our values and our commitment to The Chevron Way .
• Have the opportunity to take part in world-leading energy projects, advance your professional development and expand your career within an inclusive and collaborative workplace.
• Join a workplace where innovation, collaboration and safety are at the core of how we work.
• Work in thoughtfully designed environments that support focus, well-being, and innovation enhanced by digital tools that enable seamless collaboration.
• Grow through structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron's values and business priorities.
• Access comprehensive benefits that support your health, well-being, and work-life balance.
• Engage with emerging technologies and digital solutions that are shaping the future of energy and enterprise.
• How to apply
• To be a part of our success, click APPLY to submit your application.
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Benefits

Additional Information

Total Number of Openings 1 The Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world's current and future energy challenges. As one of the leading energy providers worldwide, Chevron is involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies. Chevron's vision is to be the global energy company most admired for its people, partnerships, and performance. With a clear purpose to develop affordable, reliable, ever-cleaner energy that enables human progress, we believe human ingenuity has the power to solve any challenge and overcome any obstacle. Meeting the world's growing energy needs requires the pursuit of innovations and advancements that deliver a better future for all. Job Role Chevron invites applications for the role of Lead Data Analyst - Profiling & Cleansing. Successful candidates will join a successful multifunction workforce of SAP resources providing business services and solutions across the globe We are seeking candidates experienced in gathering, analyzing and preparing data for migration based on data quality, types of data, and relationships among data elements within a legacy ERP system and with business domain subject matter expertise.

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