Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process.

We are committed to advancing your career and look forward to supporting your professional growth.

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Chief Data & Analytics Officer
Location : New York, New York (Hybrid – 2 days onsite, 3 days remote)
Salary : $250,000 - $300,000 Base + Target Bonus up to 40%

Must Have the Following :
Enterprise Data Strategy, Data Modernization, Cloud Data Platforms (Snowflake/ Databricks/AWS/GCP), Data Governance, Data Engineering Leadership, AI & Machine Learning Enablement, Analytics & Business Intelligence, Executive Stakeholder Management, Hospitality/Travel/Loyalty Experience Preferred, Team Leadership

Responsibilities :

• Lead and evolve the enterprise data strategy to support commercial growth, customer engagement, loyalty initiatives, and long-term business objectives.
• Establish data as a strategic business capability across personalization, loyalty, distribution, analytics, and network intelligence.
• Identify and prioritize high-impact data initiatives that deliver measurable business outcomes.
• Partner with executive leadership to align data investments with corporate and digital transformation strategies.
• Lead modernization of enterprise data architecture, governance, engineering, and integration capabilities.
• Build scalable cloud-based data platforms supporting real-time analytics, AI, machine learning, and advanced reporting.
• Create and implement enterprise-wide data governance, stewardship, and ownership frameworks.
• Improve data quality, accessibility, lineage, security, and trust across the organization.
• Build and lead a high-performing data organization encompassing data engineering, architecture, governance, analytics, and platform teams.
• Develop scalable data products and decision-support capabilities that drive revenue growth and customer engagement.
• Enable data-driven decision making across commercial, product, marketing, and operational teams.
• Foster a culture of accountability, operational excellence, innovation, and data fluency across the enterprise.
• Serve as a strategic advisor to senior leadership and executive stakeholders.

Requirements :

• 12+ years of progressive leadership experience in enterprise data, analytics, or data platform organizations.
• Proven success leading large-scale data transformation initiatives in complex, matrixed environments.
• Deep expertise with modern cloud data platforms including Snowflake, Databricks, AWS, or GCP ecosystems.
• Strong background in data engineering, enterprise architecture, governance, and analytics platforms.
• Experience operationalizing AI, machine learning, automation, and advanced analytics capabilities.
• Ability to translate data into scalable products, insights, and measurable business value.
• Experience leading technical teams across data engineering, architecture, platform, governance, and analytics functions.
• Strong executive communication skills with the ability to influence C-suite stakeholders.
• Experience in hospitality, travel, loyalty, membership, marketplace, or customer-centric organizations is highly preferred.
• Demonstrated ability to build high-performing teams and establish scalable operating models.

Benefits :

• 32 Days PTO plus paid holidays
• Medical coverage available within the first month
• HSA with company contribution
• 401(k) match up to 4%
• Deferred compensation opportunities
• Home office stipend
• Travel credit benefit
• Access to financial advisors
• Collaborative and inclusive work environment

INDH

Chief Data Officer, VP Enterprise Data, Data Strategy, Data Governance, Data Engineering, Data Architecture, Snowflake, Databricks, AWS, GCP, Cloud Data Platform, Data Modernization, Enterprise Analytics, Business Intelligence, Machine Learning, Artificial Intelligence, Data Products, Executive Leadership, Customer Analytics, Loyalty Analytics, Hospitality Technology, Travel Technology, Personalization, Revenue Optimization, Data Transformation, Digital Transformation, Data Quality, Data Stewardship, Data Management, Real-Time Analytics, Predictive Analytics, Data Operations, Leadership, Enterprise Architecture, Data Platform, Commercial Analytics.