This job ad has been posted over 40 days ago...


Contract Data Architect with Data Governance and SAP

at Abin Thomas (Anywhere)

Position: Principal Analyst
Duration: 6+ Months
Location: Burbank CA
Major Skills: Governance, Data Platforms, SAP

Responsibilities / Preferred Qualifications

• Demonstrate understanding of stakeholders business processes, technologies, and challenges. Serve as a technology thought leader. Interface between business users and IT teams to facilitate large and small scale changes and complex problem solving.
• Evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information and/or abstract from low-level information to articulate user requests from their underlying needs.
• Excellent written and verbal communication skills with the ability to articulate and document complex information clearly, concisely, and effectively with experience interacting with both business and IT individuals at all levels.
• Forge strong relationships across levels and organizational lines of business. An individual with keen business and technical acumen, able to comprehend both industry and internal organizational dynamics and strategies.
• Define and manage business value proposition and/or use cases for enterprise data governance and strategic initiatives;
• Research, assess and identify potential business value propositions and/or use cases.
• Sufficient level of technical background to provide highly-credible leadership to development teams and accurately evaluate complex project risks and issues. A focused background in Provisioning/Data Capture, Big Data, Data Warehousing, machine learning and Business Analytics is preferred.
• Ensure coordination and consistency with enterprise goals and strategies- aligning with the company's long-term planning process to ensure that stakeholder insights are fully integrated efficiently into the data team’s strategic definitions for the planning process.
• Proven experience using structured, disciplined approaches to solving technical, data, and logical problems. Ability to focus on details while maintaining the “big picture” view.
• Produce necessary enterprise data governance and strategy artifacts including business value propositions, business/data requirements, data flows, user stories, process diagrams, and functional designs that all ensure alignment across business and technology stakeholders.
• Proactively stay abreast of industry trends contributing to the evolving;
o Data technology strategies
o Enterprise Data governance needs and capabilities- MDM, Meta-Data, etc….
o PMO/Portfolio management
• Facilitate peer reviews reviewing work products and providing direction to architects, analysts and engineering teams

Basic Qualifications • 5-10 years enterprise IT data platform analyst or equivalent and application architecture experience
• 5 years of hands-on analysis for software development, large scale and complex integration environments.
• 3 years of translating business and technical strategic, scalable data solutions
• 5 years of technical and business operational data platforms
• Enterprise Data Governance analysis support
• Establish/maintain high level of stakeholder trust and confidence
• Highly critical and analytical thinker, able to synthesize and articulate complex data, work with ambiguous requirements with little or no guidance.
• Aggregate and distill large quantities of disparate information and re-presenting targeted communications across diverse audiences.
• Deep strategic thinking capabilities
• Strong analytical, planning, prioritization and organizational skills with competing demands
• Solid understanding of software development models, web technologies, database concepts and modern service oriented architectures.
Preferred Qualifications • Non-technical/business-facing experience
• Enterprise data governance
• SAP experience
• Organizational Transformation initiatives
• Developed analysis artifacts for unstructured data integration (batch, micro-batches, real-time data streaming) across Hadoop, RDMSs, NoSQL (MongoDB, Hbase) and Data warehousing (Informatica and/or Teradata preferred) systems;
• Business domain modeling
• Logical and physical relational data modeling/design
• Understanding of MDM, Data Profiling and Quality tools
• Understanding of Business and Predicative analytics including machine learning

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Published at 09-11-2015
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