[Remote] Director, Data & Analytics
Note: The job is a remote job and is open to candidates in USA. Extended Stay America is seeking a Director of Data and Analytics to lead the strategic direction, implementation, and management of its data and analytics platforms. The role oversees data architecture, governance, quality, cloud technologies, advanced analytics, AI and machine learning initiatives, and cross-functional technology delivery.
Responsibilities
- Develop/enhance and lead execution of the technology roadmap for the organization aligning it with strategic business goals covering all critical enterprise applications and technologies
- Lead and manage the core data team, including overseeing large-scale projects and vendor collaboration
- Oversee the delivery and support of data and analytics platforms to meet business objectives leveraging vendor teams or directs taff
- Ensure that the data platforms align with the organization s technology and governance strategies, policies, and standards
- Provide technology thought leadership to address complex project issues by facilitating alignment across disparate teams
- Drive the exploration and implementation of new data technologies and methodologies
- Ensure data governance and quality standards are met and maintained
- Develop and implement predictive and actionable capabilities on the data platform
- Oversee data modeling efforts to ensure the accuracy and efficiency of data structures
- Promote and integrate AI, machine learning, and other advanced analytics into data strategies
- Collaborate with cross-functional teams to align data initiatives with business goals
- Manage budget skills for both runtime and project budgets, ensuring vendors bill accurately and cost-efficiency is maintained
- Performs duties as assigned
Skills
- At least 10 years of software engineering and architecture experience
- At least 7 years of experience in a senior IT leadership role overseeing data and analytics platforms
- Experience in the full lifecycle of software development projects, including business process design, requirements analysis, feasibility studies, software design, programming, testing, deployment, installation, and operational management
- Proven expertise in data architecture and cloud technologies, particularly AWS, is essential
- Strong understanding of data governance and quality best practices
- Proficient in data modeling and developing predictive, actionable data capabilities
- Demonstrated experience in overseeing large-scale projects and managing vendor relationships
- Strong passion and hands-on experience with AI, machine learning, and advanced analytics technologies
- Experience in managing off-shore and on-shore IT delivery centers
- Experience with relational and dimensional database modeling and implementation
- Strong experience designing and deploying full-stack data analytics platforms, including the use of data warehouse technologies and data visualization tools such as PowerBI and Tableau
- Strong experience with both real-time and batch pipelines-based data integration frameworks
- Experience with visual modeling tools, including UML
- Experience in the full life cycle of complex software deployment projects using structured methodologies, including Agile/Scrum and SDLC
- Thoughtful practitioner of software engineering methodologies, frameworks, and tools
- Demonstrated ability to lead and collaborate effectively in a remote working environment
- Exceptional leadership and interpersonal skills, with a proven ability to drive cross-functional teams towards common goals
- Able to ramp-up quickly. Takes initiative and is a self-starter
- Strong communication skills
- Strong interpersonal skills
- Can zoom from big picture to detail
- Relevant domain experience
- Creative thinking, problem solving, and decision making
- Teaching /coaching Skills
- General IT knowledge
- Ability to interact with the client executive team
- Experience with organizations of similar size and complexity
- Bachelors degree in Computer Science or equivalent work experience
- Hands-on experience with Databricks and Apache Airflo w a plus
- MIS is a plus
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