Photon Logo

Photon

Director of Data and AI | Onsite | New York

Posted 3 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
100K-300K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in United States
100K-300K Annually
Expert/Leader
Lead client engagements to design and deliver scalable cloud data platforms and AI/GenAI solutions. Drive solution development, data governance, compliance, and operational metrics. Build and mentor cross-functional teams, provide technical leadership, and produce thought leadership to grow business opportunities.
The summary above was generated by AI

Title: Director of Data and AI

Location: New York 

Overview: We are seeking an experienced Director of Data and AI to lead our data and AI service offerings, working directly with clients to design, implement, and optimize innovative data platforms and AI solutions. The ideal candidate will have a strong background in working with diverse data ecosystems, data governance, implementing Cloud Data Platforms (CDPs), and applying AI/GenAI to drive business results. This role requires excellent client management skills, technical expertise, and the ability to lead multidisciplinary teams to deliver exceptional value to our clients.

Key Responsibilities:

Client Engagement and Delivery

  • Serve as a trusted advisor to clients, understanding their business challenges and translating them into data and AI strategies.
  • Lead the design and implementation of scalable data platforms, advanced analytics solutions, and AI/GenAI initiatives for clients.
  • Ensure successful delivery of data and AI projects, meeting timelines, budgets, and client expectations.

Solution Development

  • Drive the development of best-in-class solutions using modern data architectures, cloud technologies, and AI frameworks.
  • Leverage expertise in Cloud Data Platforms (e.g., AWS, Azure, GCP) to create robust, secure, and cost-effective data solutions for clients.
  • Design AI/GenAI solutions that solve client-specific problems, such as predictive modeling, personalization, and process automation.

Data Governance and Compliance

  • Establish and implement data governance frameworks to ensure data quality, security, and compliance with industry regulations.
  • Guide clients in developing robust data policies, procedures, and standards for data management.
  • Work with stakeholders to ensure adherence to privacy laws (e.g., GDPR, CCPA) and mitigate risks associated with data breaches or misuse.

Team Leadership and Development

  • Build, mentor, and lead a team of data architects, engineers, and AI/ML experts.
  • Foster a collaborative environment to share knowledge and drive innovation within the team.
  • Provide technical leadership and guidance on complex projects to ensure excellence in delivery.

 

Thought Leadership and Innovation

  • Stay ahead of industry trends in data and AI to position Photon as a leader in the space.
  • Develop thought leadership content, including white papers, webinars, and presentations, to showcase our expertise.
  • Identify new opportunities for client engagement and innovative offerings to expand the business.

Operational Excellence

  • Establish and track key metrics to measure the success and impact of client solutions.
  • Ensure all solutions comply with regulatory, security, and privacy standards.
  • Optimize processes and methodologies to improve efficiency and quality in solution delivery.

Qualifications:

  • Experience: 10+ years in data and analytics, with a significant portion in client-facing or consulting roles.
  • Expertise: Strong experience in cloud platforms (e.g., AWS, Azure, GCP, Databricks, Snowflake), data architecture, and CDP implementations.
  • AI Knowledge: Proven track record of designing and delivering AI/GenAI solutions that address real-world business problems.
  • Data Governance: Demonstrated ability to establish and implement data governance frameworks that ensure high data quality, security, and compliance.
  • Client Management: Demonstrated ability to manage client relationships, understand their needs, and deliver impactful solutions.
  • Technical Skills: Proficiency in big data technologies, cloud-native services, machine learning frameworks, and programming languages (e.g., Python, Spark, SQL).
  • Leadership: Strong leadership skills with experience managing technical teams and cross-functional collaboration.
  • Education: Bachelor’s degree in Computer Science, Data Science, or related field; advanced degree preferred.

 

Preferred Skills:

  • Experience working with clients across multiple industries, such as retail, financial services, healthcare, or manufacturing.
  • Familiarity with customer data platforms and strategies for data-driven marketing and personalization.
  • Strong business acumen and the ability to align technical solutions with client objectives.

Compensation, Benefits and Duration

Minimum Compensation: USD 100,000
Maximum Compensation: USD 300,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Photon San Francisco, California, USA Office

San Francisco, United States

Similar Jobs

21 Minutes Ago
In-Office or Remote
123K-223K Annually
Mid level
123K-223K Annually
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Field-driven territory sales role responsible for full-cycle, self-sourced selling: prospecting, in-person demos, closing deals, building pipeline and partnerships, onboarding coordination, and maintaining Salesforce pipeline and forecasts. Spend most of the week in-market, hit weekly visit targets, and exceed quota across Square's product ecosystem.
Top Skills: Salesforce
29 Minutes Ago
Remote or Hybrid
United States
103K-129K Annually
Mid level
103K-129K Annually
Mid level
HR Tech • Information Technology • Professional Services • Sales • Software
The role involves supporting customers with benefits administration issues, troubleshooting complex problems, and collaborating with multiple teams to improve product functionality and customer experience. Candidates should have a strong background in US benefits administration and exceptional problem-solving skills.
Top Skills: APIsAsanaJIRASaaSSalesforceZendesk
30 Minutes Ago
Remote
United States
157K-242K Annually
Senior level
157K-242K Annually
Senior level
Security • Software • Cybersecurity • Automation
Lead and scale an enterprise Customer Success team for high-touch SaaS customers. Build CS processes, drive retention and expansion, manage escalations, collaborate cross-functionally, monitor performance metrics, and use data to improve outcomes for strategic accounts.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account