Head – Data & Analytics

TalentKraft HR Solution Pvt Limited - India

15 years

0 Lacs

hyderabad telangana india

Posted:6 days ago| Platform:

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Skills Required

data analytics ai manufacturing drive finance azure gcp engineering governance erp sap lims crm summarization ml forecasting optimization compliance scaling aws etl mdm power tableau looker leadership management technology

Work Mode

On-site

Job Type

Full Time

Job Description

Head – Data & Analytics | Pharma Company

Location:

Head – Data & Analytics

data and AI strategy

Key Responsibilities

Define and lead the
enterprise data & AI roadmap
aligned with digital transformation goals.
Build and manage
cloud data platforms (Azure / GCP / AWS)
with scalable, compliant architectures.
Oversee
data engineering, governance, and master data management
across ERP (SAP), MES, LIMS, and CRM ecosystems.
Drive
analytics and GenAI adoption
— enabling conversational insights, contextual summarization, and intelligent automation.
Lead
AI/ML initiatives
in forecasting, process optimization, predictive quality, and reliability.
Ensure
compliance with GxP, 21 CFR Part 11, and data integrity
standards across all data and AI systems.

Profile Requirements

10–15 years of experience in
Data Engineering, AI/ML, or Analytics leadership
, ideally in
pharma, life sciences, or manufacturing
.
Proven experience building and scaling
cloud-based data platforms
(Azure, AWS, or GCP).
Expertise in
ETL/ELT
, data lakes, MDM, and advanced analytics platforms (Power BI, Tableau, Looker, SAP Analytics Cloud).
Experience deploying
GenAI and agentic AI models
in enterprise or regulated environments.
Strong leadership, stakeholder management, and strategic thinking capabilities.
Bachelor’s or Master’s in Computer Science / Data Science;
MBA preferred
.

Why Join

Opportunity to
build a next-generation enterprise data and AI ecosystem
from the ground up.
Collaborate with global business and technology leaders driving digital transformation.
Work at the intersection of
AI innovation, compliance, and scalable data architecture
.

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