Capability Lead – Data Science & Analytics
- Posted
- Employment
- full time
- Work mode
- unknown
Skills explicitly mentioned: Technical Leadership, SME capability, Thought Leadership, Technical-leadership, Stakeholder-management, Capability-management, Solution-framework, Thought-leadership
Job Overview The Data Science & Analytics Capability Lead is a senior leadership role responsible for raising the technical depth and solution maturity across MathCo’s analytics engagements. This role exists to: • Provide expert guidance on complex analytical problems across accounts • Strengthening solution architecture for industry-level problems • Engage with senior customer stakeholders as a technical thought partner • Lead and mentor a pool of high-caliber SMEs who are embedded across client engagements • Own and drive revenue generated from this capability through billed SME deployments • Build reusable analytical frameworks, accelerators, and best practices • Support learning and development of analytics talent across the organization • Act as the technical conscience of the organization, ensuring rigor, innovation, and quality Job Responsibilities Technical Leadership Across Accounts • Provide advisory support to accounts facing complex modeling and analytics challenges (e.g., MMM, MTA, Forecasting, Pricing, Retail Media • Measurement, Causal Inference, Bayesian modeling, Neural Networks etc.) • Review and strengthen analytical approaches, model structures, and solution logic • Be the go-to expert for problem statements that require depth beyond standard playbooks Senior Customer Stakeholder Engagement • Engage directly with senior client stakeholders (Director/VP/Head of Analytics, Marketing Science, Revenue Growth, etc.) as a technical leader • Represent MathCo’s analytical depth in critical client conversations, workshops, and solution discussions • Build credibility and trust through strong analytical articulation and problem solving • Support accounts in translating complex analytics into business-relevant narratives for leadership audiences Own and grow the SME Capability Revenue • Build and manage a pool of high-caliber SMEs deployed across accounts • Drive billed utilization of SMEs embedded in client engagements • Own the revenue generated from this capability • Ensure SMEs are deployed where they create maximum client and commercial impact • Track and manage capability pipeline, utilization, and revenue performance Solution Design, Pilot Success & Pipeline Conversion • Partner with Growth, Presales, and Account teams to design solutions for complex RFPs and problem statements • Lead analytical solutioning for pilot and high-stakes projects • Convert successful pilots and technical interventions into scaled engagements • Actively contribute to conversion of sales pipeline through technical credibility Build Analytical Assets & Frameworks • Develop reusable solution frameworks for key industry problems • Create modeling templates, code accelerators, and best practice playbooks • Standardized high-quality analytical approaches across teams Quality & Rigor Champion • Act as the review authority for high-impact analytical solutions • Improve analytical storytelling, documentation, and model defensibility • Raise the bar for what “good” looks like at MathCo Learning & Development Leadership • Partner with L&D to design capability development programs • Conduct internal workshops, masterclasses, and technical forums • Create learning pathways, reference materials, and case studies from real engagements • Mentor senior data scientists and emerging technical leaders across the organization Thought Leadership & Innovation • Stay ahead of emerging analytical techniques • Drive adoption of modern modeling approaches across teams • Represent MathCo’s analytical thought leadership internally and externally Key Outcomes & Success Metrics • Revenue • Capability Revenue • Pilot Conversion of new engagements • Pipeline Conversion • Fulfilment quality on critical engagements • Talent development – training, assessment, deployment • Marketing content – POVs, Whitepapers etc. • Billability and Impact of SMEs Required Experience & Skills Experience • Over 12+ years of experience in advanced analytics and data science • Deep experience in solving complex business problems using modeling and analytics • Experience working across multiple industries – CPG, Retail etc. • Experience across multiple verticals – Marketing, Supply Chain, Sales, Finance etc. • Experience mentoring senior data scientists and technical teams • Experience of global delivery setup across US, Europe and/or Asia Pacific Technical Expertise (strong depth across all or several of these) • Marketing Mix Modeling, Attribution, Causal Inference • Pricing & Elasticity modeling • Forecasting & time-series modeling • Bayesian methods, hierarchical models, state-space models • Machine Learning & statistical modeling • Python and modern data science stack • Neural Networks, Deep Learning, Transformers etc. • Familiarity with GenAI applications in analytics (preferred) Leadership & Influence • Strong mentoring and coaching capability • Ability to influence different teams and accounts across the org • Strong solution design and analytical storytelling skills • Ability to simplify complex business problems and solutions to technical and non-technical stakeholders • Provide transparency and value reports to executive leadership Who is this role ideal for- • The role is ideal for a senior analytics leader who: • Loves solving hard analytical problems • Enjoys mentoring and building tech talent • Wants to shape analytics capability at an organizational level • Thrives in ambiguity and complex problem spaces • Is motivated by both technical excellence and commercial impact Being a Mathemagician • Understand & embody MathCo’s culture and way of working. • Demonstrate an ownership mindset to drive results, striving for excellence. • Engage actively and contribute company growth. • Support diversity and understand different perspectives.