▷ (Apply in 3 Minutes) Sr Dir Data Governance

About McDonalds in IndiaOne of the worlds largest employers with locations in more than 100 countries McDonalds Corporation has corporate opportunities in Hyderabad Our global offices serve as dynamic innovation and operations hubs designed to expand McDonald s global talent base and in-house expertise Our new office in Hyderabad will bring together knowledge across business technology analytics and AI accelerating our ability to deliver impactful solutions for the business and our customers across the globe Primary Purpose of Job Family and Sub-family The Data AI Governance lead keeps the data value chain flowing smoothly helping to unlock the full power of our data to drive business customer value The team does this by creating tools structure and ways of working that empower the business to make our data assets safe secure responsibly managed and accessible to those who need them Additionally Data AI Governance empowers the organization to responsibly leverage AI ensuring transparency accountability and alignment with ethical standards Our goal is to build trust in data and AI technologies enabling McDonalds to enrich the customer experience and grow the customer base Skills Experience Required Bachelors degree in Data Science Information Systems Business Administration or a related field Masters degree or relevant certifications in data governance AI or related areas is a plus 15 years of experience in data governance AI governance or related data management roles with at least 5 years in leadership positions Proven experience in establishing and leading data governance frameworks responsible AI governance and data privacy and security protocols in large organizations Demonstrated ability to drive cross-functional collaboration particularly with legal compliance IT and business units to refine and implement governance frameworks Extensive experience in managing risk data quality and controls with a focus on operationalizing governance policies across business functions Proven leadership in fostering a culture of data literacy accountability and adherence to responsible data and AI practices Strong communication and stakeholder management skills with a track record of influencing senior leadership and cross-functional teams Primary Responsibilities Data Governance Vision Goals Define and implement a comprehensive strategy for data governance aligned with organizational goals and create and maintain governance structures including councils and committees to oversee data policies and initiatives Data Governance Frameworks includes Tools Enablers Enforce data quality frameworks to maintain accuracy consistency and reliability of data across the organization Data Accountability Framework Define roles and responsibilities for data stewardship ensuring clarity on data ownership and accountability for data quality and usage Data Privacy Security Establish and enforce data privacy and security policies to protect sensitive information and comply with regulations Data Quality Controls Framework Standards Define data quality standards i e criteria KPIs to ensure effective awareness accountability oversight and data quality visibility across the organization Data Retention Partner with Legal to support data retention policy definition Business Metadata Management Identify classify and provide context for critical data elements how it is used glossary KPI definitions etc Business Data Lineage Trace and document the origin and transformation of data throughout its lifecycle within a business context Critical Data Ensure adequate privacy and security controls on critical data such as personal information sales data or intellectual property Note Data Governance identifies critical data for less mature functions and markets today as functions markets reach maturity this accountability should transition to relevant technology delivery teams AI Governance Ethical Frameworks Develop governance frameworks for the ethical use of AI ensuring alignment with industry standards and best practices Culture and Training Foster a culture of data governance and responsible AI through training and awareness initiatives across the organization Cross-Functional Collaboration Work with legal compliance and business units to ensure cohesive implementation of governance policies Financial Management Accountable for budget performance and results of large complex or strategically diverse teams that typically span multiple locations and include global responsibilities for multiple functional areas or business units Talent Performance Management Responsible for management of teams including performance planning evaluations Impact Corporate Impact- Directly influences the achievement of operational goals of a team Communication Level of Skill Negotiate important agreements that have long-term strategic implications for the entire organization Primary Audience Internal Nature of Interaction Engages in communication with individuals who possess varying perspectives and objectives that are divergent potentially hindering the achievement of a solution Innovation Level of Skill Change significantly by enhancing entire existing processes systems and or products Complexity Innovation is difficult problems and issues may be only vaguely defined and require understanding consideration of other disciplines and job areas Knowledge Knowledge Requires advanced well-developed skills and expertise within a specific professional discipline ability to integrate theory principles with organizational practices Teams Directs more than one team determines team structure and roles of members Geographic Breadth All region