Technical Program Manager

This is a fully remote position, open to applicants in India.

📋 Description

• Act as a senior trusted advisor to CIO, CTO, CDO, CRO, as well as business, product, and technology stakeholders.

• Drive Data & AI exploration and convert vague business challenges into quantifiable, production-ready solutions.

• Architect comprehensive systems that encompass data platforms, analytics, machine learning, GenAI, applications, APIs, governance, and integrations.

• Lead and critically evaluate advanced forecasting and predictive modeling techniques.

• Establish business and model success metrics, including R², WAPE, MAPE, statistical significance, and business-impact KPIs.

• Guarantee point-in-time accuracy, prevent data leakage, and uphold stringent model development and validation standards.

• Offer hands-on technical leadership utilizing Python, SQL, Snowflake, notebooks, Git, and contemporary Data/AI platforms.

• Define AI use cases in areas such as forecasting, sponsorship sales, lead scoring, next-best-action, revenue intelligence, personalization, subscription growth, and commercial optimization.

• Assess the suitability of classical analytics/ML, GenAI, or agentic AI based on context.

• Facilitate architecture and solution-design workshops, delivering insights to senior and executive audiences.

• Assist with proposals, SOWs, RFI/RFP responses, estimations, staffing models, and technical solution development.

• Lead and guide multidisciplinary teams across Data Science, Data Engineering, AI Engineering, Software Engineering, and Architecture.

• Engage in client stand-ups, backlog refinement, executive presentations, and strategic planning sessions.

• Educate and transfer knowledge to client teams, providing documentation, reproducibility, and transition support.

• Challenge client requests when the suggested approach fails to address the core business issue.

• Attend internal and external meetings via video calls as required.

• Visit corporate or client locations to work onsite as needed.

⛳️ Requirements

• Over 5 years of practical experience in forecasting and data domains.

• Demonstrated experience leading at least two similar forecasting projects from discovery to production/handover.

• Strong background in comparable-unit/same-store-style forecasting techniques.

• Expert-level skills in multivariable regression, collinearity analysis, VIF interpretation, model tuning, selection, and holdout validation.

• Profound understanding of sparse and zero-inflated datasets; must grasp why null values cannot be treated as zero.

• Strong metric proficiency, including R², WAPE, MAPE, and p-values.

• In-depth understanding of data leakage and ensuring point-in-time feature accuracy.

• Proficient in Python and SQL, with experience in creating reproducible analytical workflows/notebooks.

• Familiarity with Git and pull-request-based software delivery methodologies.

• Strong capabilities in Data Architecture and Solution Architecture covering ingestion, transformation, modeling, security, governance, APIs, cloud, and production operations.

• Comprehensive knowledge of ML, GenAI/LLMs, RAG, AI agents, and modern enterprise AI frameworks.

• Proven executive communication skills and the ability to engage non-statistical audiences by prioritizing business outcomes over methodology.

• Ability to articulate forecast/model limitations, uncertainties, and risks in accessible language.

• Established experience in client consulting and thought leadership.

• Experience in leading senior client workshops, technical discovery sessions, architecture discussions, and executive presentations.

• Strong commercial acumen, with the ability to link technical decisions to revenue, operational, or customer outcomes.

• Preferred experience in domains such as sports, media, entertainment, streaming, ticketing, subscriptions, sponsorship, advertising, telecom, or commercial/revenue analytics.

• Desired experience in hierarchical/mixed-effects modeling, ADRs, large-scale categorical encoding, MLOps, governance, and responsible AI.

• Extensive experience with Snowflake; familiarity with Snowflake ML/Model Registry is a plus.

• 10 to 12+ years of overall experience in Data, Analytics, AI, Architecture, or related technological fields.

🏝️ Benefits

• Comprehensive healthcare and benefits package including Medical, Dental, Vision, Disability coverage, and various other options.

• Flexible Spending Accounts (Medical, Transit, and Dependent Care).

• Employer Paid Life Insurance and AD&D coverages.

• Health Savings Account paired with our affordable High Deductible Medical Plan.

• 401(k) Safe Harbor Retirement plan with employer matching and immediate vesting.

• Open, inclusive, and respectful work environment.

• Reasonable accommodations available during the recruitment process, upon request.