Forecast Manager

Demand Forecasting –Manager – Americas Delivery Mexico (ADMX)
Are you an experienced, passionate pioneer in technology? A Demand Forecasting Manager who wants to work in a collaborative environment? As an experienced Demand Forecasting Manager, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel . Americas Delivery Mexico (ADMX) leverages scale and talent to provide high quality, cost-effective service to our clients.

ADMX is a member of the Global Delivery Network which has presence across the world with Delivery centers in the United States, Romania, India, Spain, China, and the Philippines. We provide consulting services to help our clients achieve a higher level of service in operational efficiency and business value. In this role, you will leverage your technical proficiency, business acumen, and communication skills to deliver high-quality solutions. As a Manager you will contribute to the growth and success of Deloitte Consulting LLP and the Supply Chain & Network Operations Offering through: by building a repeatable COE operating model, leading multiple workstreams and stakeholders, shaping solution approaches in pursuits, and establishing governance, quality controls, and adoption mechanisms.

Our Deloitte Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to deliver holistic performance improvement and digital transformation. Join our team of strategic advisers and architects, differentiated by our industry depth to collaborate with leading solution providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable heart-of-the-business solutions.
Completion of coursework ( Egresado ) in any pertinent field or industry.
~ Support sales activities, account management, and project planning.
~ Advanced English level.

Master’s Degree.
Hierarchy alignment, segmentation, seasonality/holiday effects, lifecycle/new product introductions (NPI), intermittency, and promo/event impacts.
Data science for forecasting: Forecast performance management: Ability to set pragmatic performance targets, design monitoring frameworks, and guide continuous improvement conversations with clients.
Ability to set performance targets, define monitoring frameworks, and lead continuous improvement conversations with client executives and product/process owners.
Data proficiency: Strong SQL; data profiling and quality assessment; ability to define data requirements and guide extraction/curation across multiple source systems.
Comfort working with imperfect/sparse/bias-prone demand data; Ability to lead end-to-end delivery patterns (discovery → data readiness → modeling → validation → deployment/adoption), including defining templates and accelerators.
Translate model outputs into executive-ready narratives, scenarios, and recommendations tied to planning and commercial decisions (inventory, service levels, promotions, NPI planning).
can drive decisions, not just analysis.
Standardization, documentation, and packaging of reusable artifacts; Platforms: Blue Yonder, o9, and/or Kinaxis training, certification, configuration, or implementation experience (asset).
Modern forecasting trends: probabilistic forecasting/prediction intervals, demand sensing with high-frequency signals, external data incorporation (e.g., weather/macroeconomic proxies) with governance, and model monitoring/retraining triggers (MLOps for forecasting).
Python for forecasting workflows; BI tools (Tableau/Power BI) for insight communication; familiarity with cloud analytics environments and data pipelines .
Certifications (assets): IBF forecasting certifications, ASCM/APICS planning certifications, and vendor credentials (Kinaxis Maestro, o9, Blue Yonder) .
Knowledge of planning processes and integration points (S&OP/IBP touchpoints, downstream consumption of forecasts).
Ability to define standard forecasting delivery patterns (discovery → data readiness → modeling → validation → deployment/adoption) and create associated templates/accelerators.
Familiarity with ERP/data ecosystems and integration considerations (ETL/ELT concepts, data contracts).
Experience with Agile methodology, for projects implementation and/or as Product Owner.
Ability to set delivery quality standards : peer review approach, model risk/assumption documentation, reproducibility, and handover/run readiness.


Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.