DIRECTV is transforming its video portfolio across Signature, BYOD, DTVi, and Genre Packs within an increasingly dynamic and competitive subscription landscape. Accurate, forward-looking subscriber forecasting is critical to enterprise planning, marketing investment, product strategy, and financial decision-making. The Principal, Advanced Analytics – Subscriber Forecasting is the senior leader responsible for architecting and governing DIRECTV’s end-to-end subscriber volume forecasting framework for designated products. This role owns the science behind forecasting Gross Adds, Churn, Reconnects, and Migrations—across run-rate expectations and scenario-based overlays. This leader combines deep expertise in time-series forecasting, survival modeling, and advanced statistical methods with automation and AI enablement capabilities to modernize DIRECTV’s forecasting ecosystem. Key Responsibilities: Enterprise Subscriber Volume Forecasting - Lead forecasting methodologies for Gross Adds, Churn, Reconnects, and Migrations across DIRECTV’s video portfolio. - Develop integrated forecasting frameworks that reconcile acquisition inflow, tenure-based churn dynamics, reconnect behavior, and product migrations. - Produce baseline (run-rate) forecasts and overlay models reflecting strategic initiatives, competitive shifts, seasonality, and macro impacts. - Ensure forecasts are transparent, defensible, and aligned across Marketing, Finance, Product, and Executive Leadership. Advanced Forecasting Methodologies - Apply and evolve advanced forecasting techniques, including: - Time-series modeling (ARIMA, SARIMA, state-space models) - Hierarchical forecasting frameworks - Survival analysis and hazard modeling for churn dynamics - Cohort-based and tenure-based decay modeling - Machine learning approaches (GBM, XGBoost, LSTM, ensemble methods) - Design migration models to capture movement across packages, platforms, and pricing constructs. - Incorporate industry trend signals, competitive dynamics, and structural shifts into forecasting assumptions. - Continuously test, backcast, and refine models to improve accuracy and reduce bias. Tenure Dynamics & Behavioral Modeling - Develop survival curves and hazard functions to model churn behavior across tenure cohorts. - Analyze lifecycle inflection points and structural breakpoints affecting retention and reconnect rates. - Build cohort-level forecasting models that capture evolving subscriber behavior over time. - Translate behavioral dynamics into actionable forecasting assumptions for enterprise planning. Scenario Planning & Overlay Strategy - Construct scenario frameworks that quantify impacts from: - Pricing actions - Promotional intensity - Competitive entry or disruption - Packaging shifts - Product transitions - Lead sensitivity analysis and stress testing to inform executive decision-making. - Provide structured, data-driven recommendations around forecast risks and opportunities. Automation & AI Enablement - Architect automated forecasting pipelines that reduce manual intervention and increase model scalability. - Build reproducible workflows using Python, SQL, and modern data orchestration tools. - Integrate AI and machine learning into forecasting workflows to enhance pattern detection, anomaly identification, and dynamic recalibration. - Develop self-service dashboards and monitoring systems that track forecast accuracy and model drift. - Modernize legacy forecasting processes into an AI-enabled forecasting ecosystem. Cross-Functional Leadership & Governance - Serve as the enterprise authority on subscriber volume forecasting methodology. - Partner closely with Finance, Marketing, Product, Strategy, and Operations to align on assumptions and forecast outputs. - Establish governance standards for forecasting accuracy, version control, and scenario documentation. - Communicate complex modeling outputs to senior executives in a clear and structured manner. Qualifications: - 5 – 7 years required, 7+ years desired experience in forecasting, advanced analytics, econometrics, or quantitative modeling. - Deep expertise in time-series forecasting, survival analysis, cohort modeling, and statistical inference. - Demonstrated experience forecasting subscription-based product volumes. - Strong proficiency in Python, SQL, and advanced analytics libraries - Experience building automated modeling pipelines and scalable analytical systems. - Familiarity with AI-driven forecasting enhancements and ensemble modeling approaches. - Strong executive communication skills and ability to defend modeling assumptions. - Advanced degree in Statistics, Economics, Data Science, Applied Mathematics, or related quantitative field preferred. Successful Profile: A successful Principal, Advanced Analytics – Subscriber Forecasting at DIRECTV: - Brings scientific rigor and technical depth to enterprise forecasting. - Anticipates structural shifts before they materially impact performance. - Balances statistical sophistication with practical business applicability. - Modernizes forecasting through automation and AI integration. - Establishes DIRECTV as a best-in-class organization in subscription volume forecasting science. May require a background check due to job duties requiring routine access to DIRECTV and DIRECTV customer’s proprietary data. Qualified applicants with arrest and conviction will be considered for employment in accordance with local ordinances and state law. This is a remote position that can be located anywhere in the contiguous United States. #LI-Remote A career with DIRECTV comes with big rewards: DIRECTV's compensation structure is designed to be market-competitive and fully supports efforts to attract and retain employees. It is the company's policy to offer pay that is competitive with other employers in the local market. Our salary ranges are determined by role, level, and location. The Base Salary range displayed below reflects the minimum and maximum target salary for each of DIRECTV's 4 (four) US Labor Market Zones. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. DIRECTV WAGE ZONES: $134,363 - $244,036 Low (N1): $134,363 - $201,595 Mid (N2): $141,435 - $212,205 High (N3): $155,579 - $233,426 Top (N4): $162,650 - $244,036 Click HERE to review information on some of the largest Designated Market Areas (DMAs). Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the salary ranges reflect base salary only and do not include bonus or benefits - when you consider all of these together, it represents a pretty impressive total compensation package. Apply today! Fair Chance Ordinance Notice for Los Angeles County applying for jobs at DIRECTV Compliance Notice Regarding Use of Automated Decision-Making Tools in Hiring Process

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Act as an individual contributor, providing project oversight and guidance to Decision Scientists, and supporting the Decision Science Manager in executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will engage in consultative partnerships, aligning with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Responsible for mentoring and acting as a force multiplier in support of Decision Scientists, with a focus on high impact, visible analyses and initiatives across multiple business models, covering banking channels, segments, and products. 2. Lead on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact. 3. Foster communication and partnership across multiple levels of the organization including engagement with LOB leaders and senior managers. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on LOB and company goals. 4. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable. 6. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices. 7. Represent assigned business group in various forums, work streams, and executive reviews. Cultivate relationships with partner federated and hub analytics teams to drive efficient decision science delivery against shared objectives. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. The incumbent must demonstrate a combination of academic aptitude, quantitative skills, business acumen, working knowledge of transaction processing application software, application processing systems, and collection inventory systems, strategic and creative thinking, and excellent written and verbal communications skills 2. Bachelor’s degree or equivalent education and 7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering, or equivalent education and related training or experience 3. 4+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results 4. Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights 5. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact 6. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact 7. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact 8. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness 9. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) Preferred Qualifications: 1. Master’s or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 3. 2+ years of analytics management experience with a diverse project focus and demonstrated results General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? What you’ll do: - Architect the Core Strategy: You will own the long-term vision and strategic roadmap for the "engine" of PrizePicks. This includes the end-to-end player journey: from seamless Acquisition and Account/Identity management to our complex Payments stack, Compliance frameworks, and Responsible Gaming initiatives. - Executive Leadership & Communication: As a senior leader, you will "drive strategy up and out." You will be a frequent presence in the boardroom, presenting product health, roadmap progress, and strategic pivots to the executive team and key stakeholders. - Build and Mentor a World-Class Team: You aren't just managing products; you are building the people who build them. You will be responsible for hiring, mentoring, and scaling a high-performing team of Product Managers, fostering a culture of excellence, accountability, and career growth. - Navigate Complex Stakeholder Landscapes: You will act as the primary bridge between the Core Product team and critical business functions. You will collaborate closely with Marketing, Analytics, Fraud, Compliance, and Legal to ensure our platform is not only high-growth and user-friendly but also secure and fully compliant with evolving regulations. - Drive Organizational Synergy: You will collaborate with other cross-functional product teams to ensure the core platform (payments, identity, etc.) provides the necessary leverage for our gaming and social features to scale effectively. What you have: - Proven Leadership: 10+ years of product management experience, with a significant portion in senior leadership roles. You have successfully led large-scale product organizations and have a track record of "owning the room" with executive leadership. - Deep Domain Expertise: Extensive experience in at least two of the following areas: Payments/Fintech, Identity/Onboarding, Regulatory Compliance, Fraud, or Growth/Acquisition. You understand the nuances of high-volume transaction processing and the complexities of operating in a regulated environment. - Mastery of People Management: A proven ability to recruit, retain, and develop top-tier product talent. You know how to build a team culture that balances high-speed execution with long-term architectural health. - Strategic Influence: You excel at navigating competing priorities from Legal, Fraud, and Marketing. You can push back when necessary to protect the user experience while ensuring the business remains compliant and secure. - Analytical & Financial Fluency: You are comfortable with complex data sets and financial modeling. You use data to justify headcount, prioritize multi-million dollar investments, and measure the ROI of the core platform. Where you’ll live: - This role is remote-eligible for candidates authorized to work within the United States. If you happen to be in (or want to be in) the "Hollywood of the South," we have a world-class headquarters in Atlanta, GA. Not local but want to be? We offer a competitive relocation package for those who wish to join us at HQ! #LI-Remote Working at PrizePicks:The typical salary range for this position is $200,000 to $250,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: 3/23/2026 Benefits you’ll receive:In addition to your great compensation package, full-time employees will be eligible for the following perks: - Company-subsidized medical, dental, & vision plans - 401(k) plan with company match - Annual bonus - Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) - Generous paid leave programs, including 16-week paid parental leave and disability benefits - Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked - Company-wide in-person events and team outings - Lifestyle enhancement program - Company equipment provided (Windows & Mac options) - Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Role Description This role provides an opportunity to lead and shape a high-impact data science program focused on improving Medicaid services for vulnerable populations. You will manage and mentor a team of data scientists, serving as the technical lead on critical healthcare analytics projects. Your work will translate complex, fragmented government health data into actionable insights that inform policy and operational decisions. You will collaborate closely with data engineering teams to design, implement, and optimize scalable ETL pipelines and analytical solutions. This is a fully remote role with significant autonomy, a supportive culture, and the ability to influence the quality of care for millions of Americans. The environment is collaborative, mission-driven, and highly technical, offering opportunities to balance leadership with hands-on coding and data strategy. - Lead and mentor a team of 5–10 data scientists, fostering professional growth, collaboration, and best practices - Serve as the hands-on technical lead for a smaller Medicaid program, managing timelines, sprint priorities, and deliverables - Guide technical direction of data science initiatives, ensuring scalable, high-quality, well-documented, and testable solutions - Develop, review, and optimize SQL queries, Python scripts, and PySpark transformations for large-scale Medicaid datasets - Collaborate with data engineering teams to build, test, and deploy automated ETL pipelines in a cloud-based Databricks environment - Act as the primary technical liaison for business analysts, internal leadership, and government stakeholders - Design reporting and visualization solutions to provide actionable insights for clients and leadership Qualifications - 8+ years of hands-on experience in data science or data engineering, with at least 2 years in a technical lead or management role - Direct experience with healthcare data, particularly Medicaid or Medicare claims datasets - Expert proficiency in SQL, Python, and PySpark for data analysis, transformation, and automation - Hands-on experience building and managing data pipelines on Databricks or similar modern cloud platforms - Familiarity with software engineering practices, including Git version control, code reviews, and CI/CD pipelines - Strong documentation and communication skills, able to translate complex technical concepts for non-technical stakeholders - Ability to work fully remotely within the United States and meet government contracting requirements Benefits - Competitive salary range of $150,000–$165,000 annually, plus annual company profit sharing - 100% employer-paid Gold-tier health insurance for employees - Fully remote work with flexible scheduling to support work-life balance - Opportunities for professional development, mentorship, and career growth - Collaborative and mission-driven culture focused on impact, curiosity, and sustainability