Director - Consulting

LTM Ltd

Los Angeles, CA

JOB DETAILS
SALARY
$165,000–$174,000 Per Year
SKILLS
Actuals, Algorithms, Analysis Skills, Artificial Intelligence (AI), Budgeting, Business Growth, Business Intelligence, Business Intelligence Software, Business Skills, Business Transformation, Communication Skills, Consulting, Content Management, Continuous Improvement, Cross-Functional, Data Analysis, Data Modeling, Data Science, Data Visualization Tools, Detail Oriented, Diversity, Economic Analysis, Facebook, Finance, Financial Trend Analysis, Forecasting, Health Plan, LifeTime Value (LTV), LinkedIn, Machine Learning, Marketing, Mobile Devices, Multiplatform/Cross-Platform, Performance Metrics, Performance Tuning/Optimization, Power BI, Predictive Modeling, Python Programming/Scripting Language, Query Optimization, R Programming Language, Revenue Growth, SQL (Structured Query Language), Scripting (Scripting Languages), Statistical Modeling, Strategic Planning, Supply Chain, Tableau, Team Player, User Interface/Experience (UI/UX), Vehicle Driving
LOCATION
Los Angeles, CA
POSTED
8 days ago

Careers at LTM

Director - Consulting

  • ID: 873371
  • 13 - 18 Years
  • 1 Opening
  • Los Angeles - California - USA

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Role description

Job Title: Director - Subscriber Growth Forecasting

Location: Los Angeles CA

Job Description

The Director of Subscriber Forecasting will lead the development and optimization of forecasting models for subscriber growth, churn, and lifetime value (LTV). This role serves as a strategic liaison across Data Science, Marketing, Finance, and BI teams, ensuring accurate projections, informed decision-making, and optimized marketing investments. This role will help with strategic initiatives, including national and targeted promotions. The ideal candidate combines analytical expertise with strong cross-functional collaboration skills to drive business impact.

Responsibilities

Own subscriber forecasts and measure performance[VD2.1], including subscriber acquisition by cohort and short- and long-term subscriber retention in close collaboration with the Data Science, marketing and finance teams to help model revenue and future growth trends.

Lead process to collect and analyze model inputs across acquisition, retention and partnership leads to incorporate all perspectives and analyze how different promotions and platforms impact the business

Analyze subscriber growth and churn to identify factors that drive performance, describe reasons for variance to plan and identify potential levers to accelerate business growth.

Collaborate with the Data Science, Title Marketing, and Paid Media teams on developing and maintaining forecasts for new starts, churn, and subscriber base.

Act as the key liaison between Marketing, Finance, BI, and Data Science teams to ensure alignment on subscriber goals with a seamless forecasting process.

Develop platform-level forecasts and allocate marketing budgets using MMM to optimize performance across channels.

Provide regular updates on weekly and monthly reporting on pacing, actuals vs. goals, and forecast accuracy.

Partner with BI teams to automate reporting and dashboards for the executive team.

Develop promotional scenarios with incrementality goals. And perform post-promotion assessments against business case goals to measure impact.

Qualifications

8+ years of experience in forecasting, analytics, or strategic planning within subscription-based or media businesses.

Strong proficiency in forecasting methodologies, statistical modeling, and scenario planning.

Strong understanding of retention cohorts and curves

Advanced Excel skills; experience with BI tools and data visualization platforms (e.g., Tableau, Power BI).

Proficiency in writing and optimizing SQL queries to extract, analyze, and manipulate data.

Excellent communication and stakeholder management skills.

Curiosity for user experiences powered by machine learning, algorithms and recommendation systems.

Experience working with multi-platform products on mobile, web and OTT.

PREFERRED SKILS

Experience working in digital streaming domain

Familiarity with machine learning techniques and predictive modeling.

Ability to develop scripts in Python (or similar languages such as R) for data manipulation and modeling.

Capability to work in a fast-paced and constantly changing environment.

EDUCATION AND EXPERIENCE

Analytical and strategic thinker with strong business acumen.

Highly collaborative and able to work across multiple teams and priorities.[VD3.1][NM3.2][MN3.3][MN3.4]

Detail-oriented with a focus on accuracy and continuous improvement.

Bachelor's degree in Business, Economics, Data Analytics, or related field; MBA preferred

Skills

Mandatory Skills : Content Workflow Management, E2E Media Supply Chain

Other details

Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual''s skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):

Benefits and Perks:

  • Comprehensive Medical Plan Covering Medical, Dental, Vision
  • Short Term and Long-Term Disability Coverage
  • 401(k) Plan with Company match
  • Life Insurance
  • Vacation Time, Sick Leave, Paid Holidays
  • Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Benefits

Compensation range: $ 165,000.00 to 174000 per year

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About LTM

LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/

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LTM Ltd