Data Business Partner

Responsibilities: Leadership and Stakeholder Engagement: Build and maintain strong relationships with business stakeholders to understand their needs and objectives. Act as a trusted advisor to stakeholders, providing insights and recommendations based on data analysis. Communicate the value of data and analytics to various business units and promote a data-driven culture. Data Strategy and Planning: Contribute to the development and execution of the organization's data strategy. Identify opportunities for leveraging data to achieve business objectives. Collaborate with Data/ML Engineers, UI Developers to prioritize and plan data projects. Collaboration and Communication: Work closely with ML Engineers, WWD business partners, analysts, and business stakeholders to understand data needs and requirements. Ensure that stakeholders are kept informed about project progress, challenges, and results. Present findings, insights, and recommendations to stakeholders in a clear and actionable manner. Requirements Collection and Analysis: Collaborate with stakeholders to gather detailed business requirements for data projects. Conduct thorough analysis to understand the underlying business problems and objectives. Translate business requirements into technical specifications for the data analytics team. Project Leadership and Management: Lead and manage data projects from initiation to delivery, ensuring alignment with business goals. Develop project plans, allocate resources, and manage project timelines. Monitor project progress, address any issues, and ensure successful project completion. Experience Required: •     Bachelor’s Degree 7 years of experience, Master’s Degree 6 years of experience in Data Engineering •     3+ years of experience as a Data Lead, Data Engineer, ML Engineer, Analyst or in a similar role, with at least 3 years in a leadership or supervisory capacity. Knowledge / Education Required: Business Acumen: Strong understanding of business processes and objectives. Ability to translate business needs into data requirements and actionable insights. Data Expertise: Strong understanding of data, data modeling, and the value data can bring to business decisions. Proficiency in data analysis and interpretation. Analytical Skills: Ability to identify trends, patterns, and insights from complex datasets. Experience with statistical analysis, predictive modeling, and data visualization tools. Project Management: Proven experience in leading and managing data projects. Strong project management skills, including planning, execution, and risk management. Communication Skills: Excellent communication and interpersonal skills. Ability to effectively communicate technical concepts to non-technical stakeholders. Collaboration and Teamwork: Strong collaboration skills and the ability to work effectively with cross-functional teams. Ability to build and maintain strong relationships with stakeholders. About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at  www.abbvie.com . Follow @abbvie on  LinkedIn,   Facebook ,  Instagram ,  X  and  YouTube. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.  US & Puerto Rico only - to learn more, visit  https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html