Lead Engineer, BI

• Responsible for defining, prioritizing, and overseeing delivery of the strategic Data Management capabilities required by the business functions
• Own oversight of data management initiatives including establishment of workflow and monitoring practices to ensure milestones are met
• Manage relationships with multiple business teams, stakeholders & partners for new solution implementation & adoption
• Establish SOP (Standard Operating Procedures) to maintain and improve data quality
• Leverage business knowledge and expertise to drive business process improvements
• Work with business counterparts to identify requirements, needs, data gathering and prioritize
• Gather key project metrics to support internal team management and executive reporting
• Drive deployment and adoption of a consistent and well managed portfolio capability
• Executive Reporting: Build and gather key metrics to support internal and executive reporting to drive consistency and insight to stakeholders
• Communications: Ensure that documentation, processes, progress announcements, and other data management communications are published, enacted, understood, and adjusted based on feedback
• Drive data remediation activities centrally to drive prioritization and validation of issue management remediation
• Responsible for business process understanding of data consumption
• Data Lifecycle management processes and procedures
• Extensive validation skills of the gathered data for veracity, consistency and completeness

• 7-10 Year's
• 7+ years of industry experience in Data Management practices and methodologies
• Good understanding and working knowledge of 'Data-As-A-Service' framework
• Strong knowledge of data visualization tools like Power BI and Tableau
• Good knowledge of Business Central
• Strong knowledge of data validation techniques and processes
• Good office software skills (e.g., Excel, Access, Visio, PPT), knowledge of relational, object & dimensional databases, and familiarity with statistical packages and analysis techniques
• Should perform end to end RCA on issues and challenges that are reported by business system users and process owners
• Exposure towards building playbooks, SOP's, KPI's will be an added advantage
• Should have excellent knowledge on proactive data analysis in conjunction with business needs
• Effectively communicate complex technical artifacts to both technical & non-technical audiences
• Participate in cross-functional meetings, workshops, and planning sessions to ensure data management activities support the overall objectives across data product and platform initiatives

Exposure towards building playbooks, SOP's, KPI's will be an added advantage