Senior Specialist, EHS Solution Architecture

Merck; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Merck in Hyderabad is seeking a Solution Architect to define and deliver the target architecture for the company. The architect will extend platforms to interoperate with enterprise systems, design data hubs for Engineering and EHS, and enable governed data-use for insights and AI.

The role combines strategy, hands-on architecture, feasibility assessment, and delivery leadership, translating business needs into architecture principles, reference architectures, and implementation roadmaps.

Responsibilities

• Define the MEEHS target architecture across applications, integrations, identity, cloud, data, analytics, security, and operations.
• Design and implement integration patterns to connect critical enterprise systems via APIs, events, middleware, and governed data sharing.
• Architect central data hubs for Engineering and EHS products, including ingestion, storage, transformation, metadata, lineage, access, quality, and retention.
• Define canonical data models, vocabularies, identifiers, metadata standards, master data alignment, and contextual relationships.
• Conceptualize digital-thread use cases linking engineering design, project controls, operations, maintenance, and EHS data.
• Evaluate value, feasibility, architecture fit, data readiness, security, cost, and delivery risk.
• Create governed data foundations supporting dashboards, KPI reporting, predictive insights, AI-ready search, ML use cases, and Power BI visualization.
• Translate concepts into designs, docs, data contracts, roadmaps, work packages, and deployment plans.
• Lead evaluations of COTS, SaaS, cloud, data, integration, analytics, and AI tech; assess vendor roadmaps.
• Incorporate secure-by-design principles, least-privilege access, identity federation, encryption, and GMP/GxP compliance.
• Collaborate with Product Managers to align needs with capabilities, roadmaps, backlogs, and value realization.

Job description

The Opportunity

• Join a global healthcare biopharma organization and shape the architecture that connects digital capabilities across Maintenance, Engineering, Asset Reliability, Manufacturing Site Operations, and Environmental Health & Safety.
• Lead the evolution of ME and EHS from individual product platforms toward an interoperable, governed, secure, and data-driven ecosystem integrated with critical enterprise systems.
• Design central data hubs and reusable information services that make engineering and broader company EHS data discoverable, trusted, contextualized, and available for operational reporting, business insights, advanced analytics, and AI use cases.
• Conceptualize digital-thread capabilities that preserve business context and data continuity across engineering, project delivery, commissioning, asset handover, operations, maintenance, reliability, and EHS processes.
• Work across global product teams, manufacturing sites, enterprise architecture, data and analytics, cybersecurity, quality, infrastructure, integration teams, vendors, and managed service providers.

Role Overview

We are hiring a Solution Architect to define and deliver the target architecture for the company. The architect will focus on extending existing platforms so they can interoperate with critical enterprise systems, designing central data hubs for Engineering and other products, and enabling governed use of digital data for business insights and AI. The role combines strategy, hands-on architecture, feasibility assessment, solution design, technical governance, and delivery leadership. The Solution Architect will translate business and product strategies into architecture principles, capability models, reference architectures, integration patterns, data-product designs, technology roadmaps, and executable implementation increments. The role will assess current-state constraints, identify reusable platform capabilities, evaluate build-versus-buy options, guide proof-of-concept and pilot work, and ensure solutions are secure, compliant, scalable, supportable, and aligned with enterprise standards.

What You Will Do

• Define the MEEHS target architecture: Develop current-state, transition-state, and target-state architectures spanning applications, integrations, identity, cloud services, infrastructure, data, analytics, security, and operations.
• Enable enterprise interoperability: Design and implement integration patterns that connect with critical enterprise systems through APIs, events, middleware, managed file exchange, master data services, and governed data-sharing mechanisms.
• Architect central data hubs: Design central data hubs for Engineering and other EHS products, including ingestion, storage, transformation, semantic modeling, metadata, lineage, access, quality, retention, observability, and consumption layers.
• Establish trusted information models: Define canonical data models, business vocabularies, identifiers, metadata standards, master and reference data alignment, and contextual relationships across projects, facilities, systems, equipment, documents, work processes, risks, and controls.
• Advance digital-thread capabilities: Conceptualize and assess digital-thread use cases connecting engineering design, project controls, construction, commissioning and qualification, asset handover, site operations, maintenance, reliability, and EHS information.
• Assess feasibility and shape investments: Evaluate business value, technical feasibility, architecture fit, data readiness, integration complexity, cybersecurity, compliance, operating impact, cost, vendor capability, dependencies, and delivery risk.
• Enable insights and AI readiness: Create governed data foundations that support operational dashboards, KPI reporting, predictive insights, AI-assisted search, knowledge retrieval, machine-learning use cases, and future agent-enabled workflows. Design and build visualization layer using Power BI.
• Provide delivery leadership: Convert approved concepts into solution designs, architecture decision records, integration specifications, data contracts, implementation roadmaps, technical work packages, non-functional requirements, test strategies, deployment plans, and support models.
• Guide platform and vendor decisions: Lead technical evaluations of COTS, SaaS, cloud, data, integration, analytics, and AI technologies; assess vendor roadmaps and architecture claims; and recommend fit-for-purpose solutions.
• Embed security, privacy, and compliance: Incorporate secure-by-design, least-privilege access, identity federation, encryption, logging, monitoring, data classification, privacy, records management, GMP/GxP, validation, and audit-readiness requirements.
• Partner through a product mindset: Work with Product Managers to connect user needs and business outcomes to capabilities, roadmaps, backlogs, release increments, adoption measures, product health, value realization, and total cost of