Director, AI Product Management

Equinix

4.7

(51)

Toronto, Canada

Why you should apply for a job to Equinix:

  • 4.7/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 92% say women are treated fairly and equally to men
  • 94% would recommend this company to other women
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Health, Dental, Vision, Life, Temporary & Long-term Disability Insurance
  • Internship Programs with Universities by partnering with local universities all over the world
  • Education, Training, Tuition & Certification Reimbursement
  • #JR-141428

    Position summary

    surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.

    Job Summary

    The Director, AI Product Manager role is accountable for driving Equinix’s applied AI strategy, working closely with senior leadership in BUs/functions to understand the business strategy, goals, and objectives, and delivering an AI product development roadmap that will enable high-quality, high-impact, high-velocity decision making. This role will lead the AI strategy and implementation, driving alignment and investment of budget and resources to the highest priority AI/ML use cases while partnering with our IT Data Science & Engineering team around technology and development.

    Responsibilities

    • Develop and lead the AI strategy for one of Equinix’s business units, aligning innovative technical solutions to business goals and objectives

    • Implement a multi-year AI product roadmap to facilitate the transformation of EQIX business units into an AI-driven enterprise while delivering significant advancements in business decision-making, efficiency, and productivity at every stage

    • Build strong relationships with executive partners to provide strategic input on AI/ML research initiatives

    • Prioritize and launch new AI initiatives by collaborating with cross-functional business partners to find opportunities to optimize our operations through the implementation of new technologies and data-driven solutions (sophisticated models and algorithms, big data systems, and data mining programs)

    • Partner closely with IT Data Science and Engineering to ensure successful product development and delivery and measure ongoing product effectiveness

    • Regularly communicate product updates, strategy, and vision to senior stakeholders to ensure alignment across the organization

    • Structure and implement operational and strategic initiatives by creating vision and scope documents, identifying and evaluating relevant datasets and systems, leading analyses, and implementing end-to-end analytics solutions

    Program Management

    • Lead the planning and delivery for a portfolio of 6-8 AI projects, managing these projects from initial proof of concept (POC) through development and implementation

    • Drive alignment across AI projects to the overall strategic objectives of the business unit, providing oversight and management of model interdependencies and facilitating collaboration among cross-functional teams

    • Evaluate all new areas for AI investments, applying a prioritization framework to optimize investment of organizations’ budget and resources

    • Establish ongoing communications and reporting methods with business stakeholders in order to stay aligned on goals and priorities throughout the entire program

    • Manage program risks: project timelines, evolving requirements, changing/adding stakeholders

    Thought Leadership

    • Be a technologist leader to set the architectural direction for the growth and evolution of applied AI

    • Drive research innovation, staying up-to-date with the latest developments in AI research, and identifying new areas of opportunity for our business units

    • Participate in key technical and design discussions with technical leads

    Knowledge and Experience sought

    • Advanced degree (Masters or PhD) in Data Science, Computer Science, Statistics, Physics, Engineering, or a related field

    • Minimum of 10 years experience in data science, machine learning, artificial intelligence

    • Proven track record of applying data science capabilities to solving ambiguous and complex business problems at scale

    • Experience with enterprise-wide AI/ML, preferably in a global organization

    • Excellent communication and interpersonal skills, with a consistent track record of building strong relationships with senior business stakeholders

    • Experience operating in a highly cross-functional, multinational business

    • 5+ year of experience leading Advanced Analytics, AI/ML, or Engineering teams

    • Track record of leading successful AI/ML programs from project initiation through development and implementation, with quantified success metrics

    • Prior experience in the Data Center Services, or Digital Infrastructure or Networking Services industry, or in Go-to-Market strategy in the IT industry

    • A multifaceted, forward-thinking leader with a bias for action, rapid experimentation, and the ability to break down complex problems

    Skills and Attributes

    • Analytical problem solver with the ability to work under pressure and multitask while leading cross-functional teams

    • Excellent communicator able to simplify complex concepts

    • Ability to build and maintain strong business relationships with key collaborators as a trusted advisor

    • Ability to demonstrate ownership and proactively drive initiatives

    • Ability to balance collaboration and driving alignment, and being decisive

    Qualifications

    • 10+ years of business experience, preferably in Investment Banking/Top tier Management consulting/Corporate Finance/Corporate Development at a leading technology company preferred

    • Bachelor's Degree in relevant field preferred; CPA or MBA a plus

    Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

    Equinix is an Equal Employment Opportunity and, in the https://U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

    The targeted pay range for this position in the following location is / locations are:

    • San Francisco, CA / Bay Area: $179,000 to $304,000 per year

    • California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: $172,000 to $293,000 per year

    • Colorado, Nevada, Rhode Island: $159,000 to $271,000 per year

    Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

    This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.

    The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

    As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:

    USA Benefits eBook

    Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.  If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

    The targeted pay range for this position in the following location is / locations are:

    • San Francisco, CA / Bay Area: $179,000 to $304,000 per year

    • California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: $172,000 to $293,000 per year

    • Colorado, Nevada, Rhode Island: $159,000 to $271,000 per year

    Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

    This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.

    The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

    As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link:

    USA Benefits eBook

    Why you should apply for a job to Equinix:

  • 4.7/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 92% say women are treated fairly and equally to men
  • 94% would recommend this company to other women
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Health, Dental, Vision, Life, Temporary & Long-term Disability Insurance
  • Internship Programs with Universities by partnering with local universities all over the world
  • Education, Training, Tuition & Certification Reimbursement