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Fractal

Engagement Manager (Tech, Media and Telecom)

Reposted 24 Days Ago
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Remote
Hiring Remotely in California, USA
Senior level
Remote
Hiring Remotely in California, USA
Senior level
The Engagement Manager will lead analytics-driven programs, manage client relationships, and innovate solutions in decision science and AI. Responsibilities include fostering collaboration, mentoring teams, and contributing to practice growth.
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It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Engagement Manager (Tech, Media and Telecom)

Fractal Analytics is a global, AI‑first company and strategic partner to Fortune 500 organizations. Unlike traditional consulting or services firms, AI is Fractal’s core business—not an add‑on. For over 25 years, Fractal has helped enterprises apply advanced analytics and AI to improve decision‑making at scale.

Fractal’s Tech, Media and Telecom practice is purpose‑built to support global TMT organizations across sales, marketing, product development & engineering, supply chain, and enterprise functions. We work with many of the world’s largest Tech companies to design, build, and scale production‑grade AI and GenAI solutions that deliver measurable business and patient impact.

Join our team and shape the future of Tech, Media and Telecom through groundbreaking technology solutions! Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Location: San Francisco Bay Area. This role requires onsite presence 3 days/week.

Note: This position is not eligible for Immigration Sponsorship at this time.
 

Overview: 
Fractal is looking for a proactive and driven Engagement Manager – Decision Science to join our Decision Science Consulting team in the Bay Area, CA. In this role, you will help power measurable outcomes for leading technology organizations, leveraging cutting-edge GenAI, Data Science, Engineering, and Behavioral Science capabilities. This is a perfect opportunity for someone who combines consulting-grade systems thinking, strong problem-solving, effective communication, and thought leadership to help our clients solve their most strategic business problems. The ideal candidate will fit well with our key values, i.e. someone who is humble, hungry and smart

Responsibilities

  • Serve as the primary point of contact for senior client stakeholders as strategic partner.

  • Lead delivery of complex analytics and AI-driven programs, ensuring quality and timely outcomes.

  • Proactively innovate solutions leveraging decision science, behavioral insights, and emerging AI capabilities.

  • Foster collaboration across multi-disciplinary teams and drive delivery excellence.

  • Identify opportunities to deepen client relationships and expand engagement scope.

  • Contribute to thought leadership and practice growth initiatives.

Qualifications: 

(Must Have)

  • 10-14 years of experience in analytics consulting or decision science leadership roles.

  • Proven ability to manage senior client relationships and deliver complex programs.

  • Strong problem-solving mindset with first principles thinking.

  • Established subject matter expert in 1 or more of the following – data science, digital marketing, behavior science, GenAI, product management, software development with strong familiarity or interest in remaining fields

  • Excellent communication and team leadership skills; ability to mentor and build high-performing teams.

  • Culture fit: Humble, Hungry, Smart (HHS) with a collaborative approach.

(Preferred Skills)

  • Familiarity with SQL and Python for problem-solving (hands-on).

  • Exposure to consulting frameworks e.g. 5-whys, issue tree, prioritization matrix

  • Exposure to project management frameworks e.g. agile, waterfall, scrum

  • Exposure to product management concepts e.g. PRD, backlog grooming, user stories

  • Experience in digital analytics, experimentation, and data-driven decision-making.

  • Understanding of Adobe Analytics concepts and digital data structures.

  • Exposure to standard ML techniques (e.g. regression, clustering, experimentation, forecasting).

  • Interest in emerging GenAI applications and trends.

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is: Up to $220,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time.  You will be eligible for benefits on the first day of employment with the Company.  In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.   The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

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Outside India: [email protected]

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Fractal Palo Alto, California, USA Office

SFO- Fractal 2100 Geng Road Suite 210 , Office # 245, Palo Alto, United States, 94303

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