RESPONSIBILITIES
- AI AND AUTOMATION DEVELOPMENT:
- Design, build, and deploy AI-driven solutions using Python, APIs, and enterprise platforms (e.g., ChatGPT, Agentforce, internal automation tools, Agentic AI Assistance)
- Partner with business and analytics teams to identify and prioritize automation opportunities that streamline workflows and enhance decision-making
- Integrate AI capabilities into existing enterprise systems and applications to improve operational efficiency
- DATA LAKE AND INFORMATICA MANAGEMENT:
- Develop, maintain, and optimize data pipeline, ETL workflows and integrations using Informatica, Azure Services, Microsoft Fabric, and Semantic Models for Power BI to ensure accurate, timely, and reliable data ingestion and transformation
- Manage the enterprise Data Lake Architecture to support analytics, reporting, and AI model training, including ingestion, transformation, and overall data management
- Uphold data governance standards, including lineage tracking, data quality, and documentation
- Working knowledge of the Medallion Data Architecture
- INTEGRATION ENGINEERING:
- Build and maintain integrations between applications, databases, and cloud platforms using APIs, middleware, and native connectors (e.g., REST/GraphQL API)
- Optimize data flow between operational, analytical, and AI systems to ensure scalability, performance, and security
- Collaborate with IT and application teams to standardize integration patterns and enforce governance
- REPORTING AND ANALYTICS ENABLEMENT:
- Curate and publish high-quality datasets for analytics and visualization tools such as Power BI, including developing and maintaining semantic models and enterprise data schemas
- Partner with business stakeholders to translate requirements into actionable data models and AI workflows
- Enable self-service analytics and enhance business intelligence capabilities across the enterprise
- GOVERNANCE, SECURITY, & DOCUMENTATION:
- Maintain clear and up-to-date documentation for technical specifications, data flows, integration architecture, and AI models
- Enforce compliance with data security, access control, and governance frameworks
- Implement monitoring and alerting for data quality, pipeline performance, and AI model accuracy
- Adhere to Project Management Office (PMO) best practices
- Support overall data governance, privacy, cybersecurity, and responsible AI practices
WHAT SUCCESS LOOKS LIKE
- Drive enterprise-wide applications to operate within a cohesive, data-driven framework that advances company-wide goals, with a focus on leasing space, selling Observatory tickets, and enhancing shareholder value, while delivering projects on time and on budget
- Integrate cutting-edge platforms, AI, and advanced analytics to fuel strategic decision-making and measurable business impact
- Embed seamless AI and data workflows into enterprise systems to improve operational efficiency, automation, and insight generation
- Establish reliable, well-governed data pipelines and integrations that power analytics, reporting, and scalable automation
- Enable enhanced decision-making across departments by delivering high-quality, trusted data and embedded intelligence
- Foster collaboration, accountability, and a culture of innovation that aligns technology solutions directly with business outcomes
REQUIRED TECHNICAL SKILLS / ABILITIES
- Strong proficiency in Informatica, SQL, Python, and Power BI
- Experience with AI/ML frameworks, LLM-based tools, and cloud platforms (e.g., Azure, AWS, or GCP)
- Hands-on experience developing and maintaining API integrations
- Strong understanding of data governance, lineage, and security best practices
- Excellent analytical, organizational, and communication skills
- Ability to collaborate across teams and translate technical concepts into business value
- Deep expertise in enterprise architecture, complex application design, AI integration, advanced analytics, and emerging technologies to deliver scalable, secure, and innovative solutions
- Demonstrate deep, active listing to better understand another’s motivations, reality, and perspectives
- Strong organizational skills: ability to prioritize work and meet deadlines in a fast-paced environment
- Excellent written and verbal communication skills, adept at conveying complex technical concepts to diverse audiences and building trust with both technical and non-technical stakeholders
- Dedication to refining development practices, adopting industry best practices, and driving sustainable organizational scalability
- Development of SMART goals, followed by the timely execution of deliverables aligned with our IT roadmap which will be measure of employee and team success
- Commitment to ethical, secure, and responsible data and AI practices
EDUCATION & EXPERIENCE
- Bachelor’s degree in computer science, data engineering, data science, information systems, or related fields
- 5–8 years of experience in data integration, analytics, or related fields 5+ years of ticketing / attraction focused experience
- Proven experience managing data pipelines, AI integrations, and enterprise analytics environments
- Exposure to real estate, REIT, or property technology environments preferred
PHYSICAL REQUIREMENTS
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift up to 15 pounds at times
WHAT YOU CAN EXPECT
- At ESRT, like our tenants, our employees come from everywhere. We foster a collaborative work environment that captures top talent and cultivates the best ideas. As a Great Place to Work® Certified employer, we are committed to maintaining our positive work culture where employees are engaged and can grow and develop. In addition, ESRT employees embody our Company Culture & Success Factors -
- Adaptable – you are a self-starter who’s able to quickly digest and execute new processes to work both collaboratively and independently
- Dynamic – you are solutions-oriented, aim to improve processes and implement efficiency, and offer insightful feedback to improve ESRT
- Dependable – you take a strong sense of ownership and accountability over your work
- Passionate – you keep up with industry trends and are excited about the potential to propel the industry forward with a “roll-up-your-sleeves” attitude
- Curious – you consistently look for new ways to work smarter, not just harder
- Ethical – you treat others with respect, act with integrity in how you perform your work, and embrace our collaborative culture
- Positive – you possess a service-oriented attitude with excellent follow through
BENEFITS
- Competitive base salary and bonus
- Health/Dental/Vision insurance
- Company sponsored Life, AD&D, STD (with Salary Continuation), and LTD Insurance
- Voluntary Enhanced LTD Program
- Voluntary Hospital, Accident, and Cancer Programs
- 401(k) with 100% match up to 5%
- Paid parental leave
- Pre-tax transit accounts
- Employee Assistance Program for emotional, financial, and legal support
WELL-BEING
- Generous paid time off
- Flex remote work time
- Flex Summer Fridays
- Employee engagement programs
- Volunteer time off
- Continuing education
- Complimentary Empire State Building Observatory access
- Complimentary gym membership and other wellness benefits
- Employee Discount Programs
Top Skills
What We Do
Empire State Realty Trust, Inc. (NYSE: ESRT) is a NYC-focused REIT that owns and operates a portfolio of well-leased, top of tier, modernized, amenitized, and well-located office, retail, and multifamily assets. ESRT’s flagship Empire State Building, the “World's Most Famous Building,” features its iconic Observatory, ranked the #1 Top Attraction in New York City for the fourth consecutive year in Tripadvisor’s 2025 Travelers’ Choice Awards: Best of the Best Things to Do. The Company is a recognized leader in energy efficiency and indoor environmental quality. As of June 30, 2025, ESRT’s portfolio is comprised of approximately 7.8 million rentable square feet of office space, 0.8 million rentable square feet of retail space and 743 residential units. More information about Empire State Realty Trust can be found at esrtreit.com and by following ESRT on Facebook, Instagram, TikTok, X, and LinkedIn.



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