Associate Director Enterprise Information Management

JOB PURPOSE
As the Head of Enterprise Information Management, you will play a critical role in shaping our data strategy and capabilities to unlock insights, optimize processes, and enable data-driven decision-making across the organization. You will lead a multidisciplinary team responsible for designing, implementing, and managing data platforms, analytics solutions, and information governance frameworks to ensure the quality, integrity, and security of our data assets.

ROLES AND RESPONSIBILITIES

1. Data Strategy and Governance:
   - Develop and implement a comprehensive data strategy aligned with business objectives, regulatory requirements, and industry best practices.
   - Establish data governance policies, standards, and frameworks to ensure the quality, privacy, and security of our data assets throughout their lifecycle.
   - Oversee compliance with data privacy regulations (e.g., GDPR, CCPA) and internal data management policies.
2. Data Platforms and Architecture:
   - Define the architecture and roadmap for our data platforms, including data warehouses, data lakes, and BI systems.
   - Lead the evaluation, selection, and implementation of data management technologies and tools.
   - Collaborate with IT and business stakeholders to design scalable and resilient data architectures that enable efficient data integration, storage, and access.
3. Data Engineering and Integration:
   - Manage a team of data engineers responsible for building and maintaining data pipelines, ETL processes, and data integration solutions.
   - Drive automation and optimization of data workflows to ensure timely and accurate delivery of data to end users and analytical systems.
   - Implement best practices for data modeling, schema design, and data governance to facilitate data reuse and interoperability.
4. Data Science and Analytics:
   - Oversee our data science and analytics capabilities, including predictive modeling, machine learning, and advanced analytics.
   - Collaborate with business teams to identify opportunities for leveraging data insights to drive innovation, optimize processes, and enhance decision-making.
   - Foster a culture of experimentation and continuous learning within the data science team, promoting the use of data-driven methodologies to solve business problems.
5. Information and Records Management:
   - Develop and implement policies and procedures for managing enterprise information assets, including documents, records, and knowledge repositories.
   - Ensure compliance with legal and regulatory requirements for information management and retention.
   - Collaborate with stakeholders to define requirements.

KEY RESULT AREAS
- Budget & Actuals
- Adoption rate of Data platform
- Data quality
- Performance vs SLA
- Automation & Reusability of capabilities
- Compliance
- Leadership (360 evaluation)

RELATED YEARS OF EXPERIENCE
- Minimum of 14+ years of experience in data management, analytics, or information governance roles, with a proven track record of leadership in complex organizations.

YOE IN MANAGERIAL POSITION
- Min of: 6+ years of managerial experience in a related field

FIELD OF EXPERIENCE
- Large multinationals, Consumer driven businesses, Real Estate Industry Preferred

TECHNICAL AND INTERPERSONAL SKILLS
- Strong understanding of data management principles, methodologies, and technologies, including data warehousing, big data, cloud platforms, and data governance frameworks.
- Experience leading cross-functional teams and driving data-driven decision making across the organization.
- Excellent communication, collaboration, and stakeholder management skills, with the ability to influence and align diverse stakeholders around a shared vision.
- Certifications in data management (e.g., CDMP), data governance (e.g., DGSP), or related fields are highly desirable.

QUALIFICATION
- Bachelor's degree in Computer Science, Information Systems, Data Science, or related field; advanced degree preferred (Master, MBA)