Partner with business leaders to translate business needs into actionable data insights Participate in business requirements gathering and assist in translating business requirements into technical requirements
Manage technical execution of development tasks to ensure that solutions add real business value, data architecture is aligned with business goals, and the design is consistent with the enterprise architecture strategy
Manage support tasks and ensure root causes are understood and resolved.
Have hands on knowledge on all technical aspect of data management which includes master data, data governance and transactional data.
Embrace key, modern technology trends in data and help the development teams leverage those technologies and provide business value.
Support and disseminate enterprise data management strategies and drive the execution of these strategies with stakeholders.
Be a major contributor to the long-term strategy for data ecosystem/platform.
Demonstrates leadership qualities and experience working collaboratively with business stakeholders from a variety of departments.
Work with the functional groups responsible for managing data to ensure consistency, uniformity and accuracy across client company standards.
Evaluate issues in the governance of enterprise data, including problem definition, root cause analysis, and opportunity and solution recommendations
Minimum Qualifications:
Min 10 to 15 years of experience in analytics and enterprise data management strategies
Min 5 to 7 years of direct people management experience required.
Solid experience in analytics and enterprise data management strategies
Strong knowledge of modern technologies in analytics & data science space
Demonstrated sense of logic, creativity, decision making & problem resolution
Excellent communication skills
Ability to multi-task and provide high quality solution under pressure, operate with minimal
Experience driving analytics products proactively by partnering with business and volunteering thought leadership
Must Have Requirements:
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Self-starter with excellent interpersonal skills, accountability, and project management skills
Ability to work under pressure in a demanding, fast-paced environment and to work under tight time constraints and meet deadlines.
Ability to manage a cross-functional team
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong grasp of SQL, data management (example: Snowflake, Informatica or dbt) and visualization tools (such as Tableau or Power BI).
Strong grasp of cloud data platforms (AWS, Azure, GCP), best practices and strategies.
Familiarity with data science models and statistical packages for analyzing datasets
Knowledgeable in queries, visualization and presenting findings
Strong understanding of data governance principles and ensuring data quality and compliance.
Experience working in an agile team
Strong oral and written communication skills, data storytelling, and technical presentations.
Bachelor's in computer science, Information Management or Data Science.
Preferred Requirements:
Master's Degree Preferred
Project management skills
Previous experience in SAP S4 Hana data stack such as Data Sphere, BTP (business transformation platform), SAC (SAP Analytics Console), SAP MDM is highly desirable
** 3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply.
This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future. **