Lead – Advanced Analytics & AI

Sulzer; Maharashtra; Presencial; INR 3.500.000 - 6.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Company provided insurance

Company transport

Top Employer recognition

Descripción de la vacante

Sulzer invites a Group Data & Analytics Expert to lead the Advanced Analytics & AI function, turning business problems into production-grade solutions including ML, GenAI and AI agents. You will own delivery standards, production lifecycle and capability development across the enterprise.

With 12+ years in analytics and 4+ years leading teams, you will shape strategy, manage specialists and vendors, and drive measurable adoption and value for Sulzer globally.

Formación

• 12+ years in analytics, data science, AI or digital product engineering.
• 4+ years leading multidisciplinary teams and production AI/analytics delivery.
• Strong understanding of analytics methods and production readiness.

Responsabilidades

• Lead Advanced Analytics & AI service portfolio and production lifecycle.
• Coordinate with Enterprise Data Architecture and Data Engineering for scalable patterns.
• Ensure data governance, security and responsible-AI requirements.
• Drive adoption, measure value and drive improvements across business functions.

Conocimientos

Analytics leadership

Machine learning

GenAI / LLMs

MLOps / LLMOps

Data science

Cloud platforms

Snowflake / Azure

Executive communication

Educación

Master's degree in a quantitative field

PhD advantageous

Herramientas

Snowflake

Azure

MS ML certs

Descripción del empleo

Sulzer 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 Role

Job 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 Purpose

Lead 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 accountabilities and tasks

• 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

Geography: 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: 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 you

Company provided insurance

Company transport

Sulzer is an equal opportunity employer. We believe in the strength of a diverse workforce and are committed to offering an inclusive work environment.

We are proud to be recognized as a Top Employer 2026 in Brazil, Canada, China, Finland, Germany, Ireland, Mexico, Switzerland, South Africa, the UK and the USA.