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 

Work Experience 

7-10 Year’s 

Knowledge, Skills, Abilities & Competencies 

• 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.

experience