Job Title: Lead Data Lake & Analytics (AI/ML)

Job Location: Bengaluru

About Syngene : Syngene () is an innovation-led contract research development and manufacturing organization offering integrated scientific services from early discovery to commercial supply.

At Syngene safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability including following safety guidelines procedures and SOPs in letter and spirit

Mandatory expectation for all roles as per Syngene safety guidelines

• Overall adherence to safe practices and procedures of oneself and the teams aligned
• Contributing to development of procedures practices and systems that ensures safe operations and compliance to companys integrity & quality standards
• Driving a corporate culture that promotes environment health and safety (EHS) mindset and operational discipline at the workplace at all times.
• Ensuring safety of self teams and lab/plant by adhering to safety protocols and following environment health and safety (EHS) requirements at all times in the workplace.
• Ensure all assigned mandatory trainings related to data integrityhealth and safety measures are completed on time by all members of the team including self
• Compliance to Syngene s quality standards at all times

Role Purpose

Lead the strategy build-out and operational excellence of Syngenes enterprise Data Lake and Analytics platform on Microsoft Azure/ AWS.

Own end-to-end data engineering advanced analytics and AI/ML capabilities that power scientific workflows R&D manufacturing quality finance and commercial analyticsdelivering secure governed and high-impact insights at scale.

Key Responsibilities

• Strategy & Architecture: Define multi-year data & AI strategy and target architecture covering ingestion storage governance analytics MLOps and consumption.
• Data Engineering & Platform Build: Build a secure scalable data lake with streaming and batch ingestion from lab systems MES/SCADA ERP CRM finance systems and scientific instruments.
• Data Governance Security & Compliance: Operationalize data governance align with GxP 21 CFR Part 11 HIPAA GDPR/DPDPB and implement Responsible AI practices.
• AI/ML & Advanced Analytics: Stand up ML Ops deliver high-value use cases across R&D manufacturing quality and corporate functions.
• Stakeholder Management & Delivery: Embed Data Product mindset establish agile delivery framework and drive vendor/partner management.
• Team Leadership: Build and lead a multi-disciplinary team including Data Architects Engineers Scientists and Governance Analysts.

Syngene Values

All employees will consistently demonstrate alignment with our core values

• Excellence
• Integrity
• Professionalism

Qualifications

• Education: Bachelors/Masters in Computer Science Information Systems Data Science Engineering or related field. PhD or MBA is a plus.
• Leads initiatives & designs frameworks in data engineering/analytics with 7 years on Azure/ AWS. Proven leadership building enterprise data platforms and AI/ML solutions end-to-end.
• Technical Skills: Azure/ AWS Data Stack (ADLS Gen2 Databricks Synapse/Fabric ADF Azure/ AWS ML Power BI Purview) Data Engineering (Spark Delta Lake Python/Scala SQL) ML/AI (Feature stores MLflow AutoML) Governance/Security (RBAC/ABAC encryption).
• Soft Skills: Executive communication stakeholder influence product thinking program management.

Success Metrics (KPIs & OKRs)

• Business Impact: Deliver 5 production AI/ML use cases generating X crore quantified value; reduce manual reporting effort by 40%.
• Data Reliability & Governance: Critical dataset DQ score 98%; MTTR <2 hours; 100% lineage in Purview for gold datasets.
• Adoption & Experience: Monthly active users 1000; NPS 40 for data products.
• Engineering Efficiency & Cost: Pipeline failure rate <1%; cost-per-insight reduced by 20%.
• Risk & Compliance: Zero High/Critical audit findings; compliance with GxP and 21 CFR Part 11.

Posting Snippet

• Syngene International is hiring a Director/Senior Director to lead our Azure/ AWS-based Data Lake & Analytics platform with AI/ML capabilities.
• You will architect and scale data products across R&D manufacturing quality and corporate functionsdriving measurable outcomes governance excellence and responsible AI.
• Proven experience with Azure/ AWS Databricks ADLS Gen2 Synapse/Fabric Purview Power BI Azure/ AWS ML MLOps and regulated data environments is essential.
• Location: Bengaluru. Reports to Head of Digital.

Skills Required

• Proficiency in Azure/ AWS cloud ecosystem including Data Lake Storage Synapse Databricks and Azure/ AWS Machine Learning.
• Hands-on experience with Databricks for big data processing Spark-based transformations and Delta Lake architecture.
• Strong understanding of cloud-native data engineering principles and Infrastructure as Code (Terraform/Bicep).
• Ability to collaborate effectively with Data Science teams to operationalize ML models and integrate advanced analytics into business workflows.
• Expertise in Python SQL and distributed computing frameworks for large-scale data processing.
• Knowledge of data governance security and compliance in regulated environments (GxP HIPAA GDPR).

Equal Opportunity Employer:

It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age color national origin citizenship status physical or mental disability race religion creed gender sex sexual orientation gender identity and/or expression genetic information marital status status with regard to public assistance veteran status or any other characteristic protected by applicable legislation or local addition Syngene will provide reasonable accommodation for qualified individuals with disabilities.