Lead – Advanced Analytics & AI

Sulzer; Pune District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Sulzer is seeking a senior leader to head Advanced Analytics & AI in Pune. Lead the analytics & AI lifecycle from discovery to production, shaping strategy, governance and delivery. Drive adoption of data-driven solutions across industrial and functional areas by coordinating internal experts and external partners.

You will build a high-caliber internal team, ensure data governance, and partner with stakeholders to translate business opportunities into valuable AI-enabled products and services.

Qualifications

• 12+ years in analytics, data science, AI or digital product engineering
• 4+ years leading multidisciplinary teams and production AI/analytics delivery
• Experience delivering production-grade analytics/AI solutions across enterprise domains

Responsibilities

• Lead Advanced Analytics & AI service portfolio
• Translate opportunities into prioritized delivery portfolio with adoption plans
• Ensure governance, quality and security for analytics & AI solutions
• Coach and develop data scientists and AI engineers
• Collaborate with business leaders to drive measurable adoption and value

Skills

Statistical learning

Machine learning

GenAI/LLMs

MLOps/LLMOps

Experimentation & evaluation

Cloud/data platforms

APIs & enterprise integration

Product/value management

Education

Master's degree in a quantitative field

Tools

Snowflake

Azure

Salesforce platforms

Job description

## Lead – Advanced Analytics & AIApply: Pune: Full time: Posted Today: JR104925Sulzer is a leading engineering company with a proud heritage of innovation. Join our global team to grow your expertise and develop innovative solutions that enable a prosperous and more sustainable society.# About the roleJob Summary The Group Data & Analytics Expert is responsible for leading advanced analytics initiatives, developing data models, and delivering insights that support strategic decision-making across the organization. This role ensures data quality, governance, and the effective use of analytics tools. This job profile is intended for recognized subject matter experts in a job area. Required to manage large projects or processes with limited oversight from manager. Coaches, reviews and delegates work to lower level professionals. Job purposeLead Sulzer's Advanced Analytics & AI function and convert prioritized business problems into production-grade statistical, machine-learning, GenAI and agentic-AI solutions with measurable adoption and value. The role owns the Analytics & AI service portfolio, delivery standards, production lifecycle and specialist capability development within the enterprise Data, Analytics & AI strategy set by the Global Head of Data, Analytics & AI.Main selling points of the job*(for recruiting)*§ Lead Sulzer's specialist Advanced Analytics & AI capability within the enterprise Data, Analytics & AI organization in Group IT.§ Move analytics and AI from fragmented proofs of concept to reusable, governed and production-grade solutions.§ Work with senior business and technology stakeholders on high-value industrial, commercial and functional use cases.§ Build a core, high-calibre internal team while intelligently leveraging enterprise platforms and specialist partners.Main accountabilities and tasks*(include KPIs and ESH requirements, if available)*§ Own the Advanced Analytics & AI service portfolio: statistical learning, machine learning, optimization, GenAI, AI agents, MLOps/LLMOps and AI FinOps, aligned to enterprise priorities.§ Translate approved business opportunities into a prioritized delivery portfolio with clear problem statements, value hypotheses, product/process owners, adoption plans and production criteria.§ Establish Analytics & AI engineering patterns jointly with Enterprise Data Architecture and Data Engineering, including reusable AI services, evaluation, monitoring, observability, security and integration patterns.§ Ensure solutions consume governed, trusted data products and comply with enterprise data, security, privacy and responsible-AI requirements.§ Lead the lifecycle from discovery and experimentation through industrialization, deployment, adoption, monitoring and retirement; prevent proliferation of disconnected PoCs.§ Lead, coach and develop Data Scientists, Forward Deployed AI Engineers & internal business / function teams; define skills, ways of working and a scalable delivery model combining a high-calibre internal team with specialist augmented capacity.§ Partner with business leaders and FDEs to redesign decisions and processes around analytics and AI, with measurable user adoption and outcomes.§ Own the augmented delivery and specialist partner model for Advanced Analytics & AI: plan capacity, allocate work, manage delivery quality, cost and partner performance, and ensure knowledge transfer into the internal team. Manage specialist vendors and platform partners and recommend make/buy/partner choices within enterprise architecture and investment guardrails.§ KPIs: (1) Production adoption - priority analytics/AI solutions actively used in target decisions/processes; (2) Realized value - validated benefit from deployed portfolio; (3) Production effectiveness - agreed reliability/evaluation thresholds and time from approved use case to production.§ ESH: comply with Sulzer ESH, information-security, data-protection and responsible-use requirements; ensure solutions do not compromise safe operational decision-making.Job scope*(as applicable, skip irrelevant parameters)***Financial:****Geographic:** Global**Key internal / external stakeholders**:**Internal stakeholders**: Global Head Data, Analytics & AI; business/division leaders; Data Governance & Standards; Enterprise Data Architecture; Data Engineering & MDM; BI/Management Reporting; Enterprise Architecture; Cybersecurity; Legal/Privacy; process and product owners.**External stakeholders**: Strategic technology providers, specialist analytics/AI partners and systems integrators.**Decision authority** *(based on**DOA matrix**,****specific for the job):* Functional delivery standards, solution methods, production readiness recommendations for advanced analytics and AI within approved enterprise and data architectures, governance and budget.Desired experience and qualifications**Work experience**: 12+ years in analytics, data science, AI or digital product engineering, including 4+ years leading multidisciplinary teams and production AI/analytics delivery.**Expertise (e.g. professional, technical):** Statistical learning (SL), machine learning (ML), optimization, GenAI/LLMs and agentic AI patterns; MLOps / LLMOps; experimentation and evaluation; cloud/data platforms; APIs and enterprise integration; product/value management. Strong Snowflake/Azure familiarity desirable. Demonstrated application of analytics/AI to marketing, sales, manufacturing, engineering, supply chain, commercial, service or enterprise functions strongly preferred.**Education:** Master's degree or equivalent in computer science, engineering, statistics, mathematics, operations research, data science or related quantitative discipline; doctorate advantageous but not required.**Certifications:** Snowflake / Microsoft / Salesforce platforms & ML/AI or data-platform certifications desirable.**Languages:** Fluent professional English; additional languages advantageous.**Soft skills:** Executive communication, structured problem solving, technical judgment, talent development, matrix influence, value orientation and willingness to guide stakeholders from low-value experimentation to areas of high business impact.**Other:** This is a senior hands-on functional lead. The ideal candidate must be technically proficient and capable of reviewing solution approaches, experiments and production readiness.# What we offer youCompany provided insurance Company transport