Senior Business Specialist

HCLTech; Thanjavur; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

HCL Technologies Limited in Tamil Nadu seeks a Senior Business Specialist to partner with the MOM Product Manager across MES, machine automation, connectivity, and manufacturing intelligence initiatives. The role spans across sites, setting analysis standards, challenging business value, and guiding BAs for governance and leadership forums.

You will drive end-to-end analysis coverage, define reusable templates, and ensure measurable outcomes through governance, risk management, and cross-site

Qualifications

• Bachelor's or master's degree in Engineering, Manufacturing, Information Technology, Computer Science, Data, Supply Chain, Business, or a related field.
• Typically 8+ years of relevant experience, including senior or lead responsibility in business analysis, product management support, manufacturing systems, smart factory, or digital transformation.
• Demonstrated experience coordinating complex initiatives across multiple functions, systems, vendors, or manufacturing sites.
• Practical experience with MES, industrial automation, machine connectivity, data platforms, analytics, or enterprise integration.
• Experience creating governance, roadmaps, business cases, prioritization material, and executive decision support.
• Experience coaching BAs or leading analysis work across a portfolio or program.
• Professional English communication and the ability to influence senior business and technical stakeholders.

Responsibilities

• Support product vision, portfolio goals, roadmap development, release themes, and outcome definition with the MOM Product Manager.
• Lead structured discovery to clarify problems, users, process impact, data needs, constraints, value, and solution options before commitment.
• Prepare prioritization evidence using value, strategic alignment, urgency, dependency, risk, cost, capacity, and readiness.
• Maintain portfolio views of demand, decisions, scope, assumptions, risks, dependencies, milestones, and expected benefits.
• Prepare concise content for portfolio reviews, SteerCo, investment decisions, and stakeholder alignment.
• Design and run analysis governance from demand intake through discovery, delivery readiness, release, adoption, and value review.
• Define quality gates for business cases, process design, requirements, data, integration, architecture, security, testing, and operational readiness.
• Establish reusable templates, methods, definitions, traceability, and decision records across the portfolio.
• Coordinate standard and exception paths to prevent avoidable complexity or technical debt.
• Lead portfolio impact analysis and dependency management across systems, sites, vendors, and initiatives.
• Provide senior analysis leadership across MES, machine automation, connectivity, manufacturing intelligence, and operational data integration.
• Guide end-to-end process and information design across MES, ERP, machines, SCADA, data platforms, analytics, maintenance, and quality.
• Ensure connectivity requirements address hardware, protocols, architecture, cybersecurity, data ownership, support, and monitoring.
• Shape manufacturing intelligence use cases around actionable decisions and measurable outcomes, not dashboards alone.
• Promote scalable templates, shared data definitions, and cross-site reuse while documenting justified local needs.
• Plan analysis coverage and recommend BA focus based on priorities, complexity, domain skill, and capacity.
• Coach BAs in discovery, process analysis, requirements, facilitation, data and integration analysis, testing, and communication.
• Review critical BA deliverables and provide quality assurance before approval.
• Build shared knowledge, lessons learned, capability plans, and communities of practice.
• Step into complex initiatives to resolve ambiguity, conflicting requirements, or alignment issues.

Skills

Product Management

Portfolio Governance

Business Analysis Leadership

Stakeholder Facilitation

Data Leadership

Executive Communication

Education

Bachelor's or Master's in Engineering/IT/CS

Tools

MES

ERP

SCADA

Analytics tools

Job description

Career Opportunities: Senior Business Specialist (183639)

Requisition ID183639-Posted11/04/2026

The Lead Business Analyst is the senior analysis and portfolio governance partner to the MOM Product Manager. The role manages business analysis across Manufacturing Execution, Automation, Machine and Data Connectivity, and Manufacturing Intelligence, ensuring strategy is converted into a coherent roadmap, governed demand, clear solution scope, and measurable outcomes.

Unlike a delivery-focused Business Analyst, this role works across initiatives and sites. It sets analysis standards, challenges business value, manages cross-solution dependencies, guides Business Analysts, and creates decision material for product governance and leadership forums. It supports product management but does not replace product accountability or formal people management unless assigned.

Key Responsibilities

Product Management Partnership

• Support product vision, portfolio goals, roadmap development, release themes, and outcome definition with the MOM Product Manager.
• Lead structured discovery to clarify problems, users, process impact, data needs, constraints, value, and solution options before commitment.
• Prepare prioritization evidence using value, strategic alignment, urgency, dependency, risk, cost, capacity, and readiness.
• Maintain portfolio views of demand, decisions, scope, assumptions, risks, dependencies, milestones, and expected benefits.
• Prepare concise content for portfolio reviews, SteerCo, investment decisions, and stakeholder alignment.
• Design and run analysis governance from demand intake through discovery, delivery readiness, release, adoption, and value review.
• Define quality gates for business cases, process design, requirements, data, integration, architecture, security, testing, and operational readiness.
• Establish reusable templates, methods, definitions, traceability, and decision records across the portfolio.
• Coordinate standard and exception paths to prevent avoidable complexity or technical debt.
• Lead portfolio impact analysis and dependency management across systems, sites, vendors, and initiatives.
• Provide senior analysis leadership across MES, machine automation, connectivity, manufacturing intelligence, and operational data integration.
• Guide end-to-end process and information design across MES, ERP, machines, SCADA, data platforms, analytics, maintenance, and quality.
• Ensure connectivity requirements address hardware, protocols, architecture, cybersecurity, data ownership, support, and monitoring.
• Shape manufacturing intelligence use cases around actionable decisions and measurable outcomes, not dashboards alone.
• Promote scalable templates, shared data definitions, and cross-site reuse while documenting justified local needs.
• Plan analysis coverage and recommend BA focus based on priorities, complexity, domain skill, and capacity.
• Coach BAs in discovery, process analysis, requirements, facilitation, data and integration analysis, testing, and communication.
• Review critical BA deliverables and provide quality assurance before approval.
• Build shared knowledge, lessons learned, capability plans, and communities of practice.
• Step into complex initiatives to resolve ambiguity, conflicting requirements, or alignment issues.

Stakeholder & Vendor Leadership

• Facilitate senior workshops across Manufacturing, Engineering, Quality, Maintenance, Supply Chain, IT/OT, Data, Architecture, Cybersecurity, Finance, and vendors.
• Challenge requested solutions constructively and reframe demand around business problems, outcomes, and standards.
• Clarify ownership, decision rights, responsibilities, and escalation paths.
• Support supplier evaluation, scope review, statement of work input, deliverable acceptance, and dependency control.
• Communicate complex topics in clear business language across sites and leadership levels.

Skill Requirements

Required Capabilities

Capability area Senior-level expectation

Product Management Discovery, vision and outcome framing, roadmap shaping, prioritization, lifecycle thinking, release planning, and value realization.

Portfolio Governance Demand intake, business case quality, decision gates, standards, exceptions, dependencies, risks, benefits, and executive reporting.

Senior Business Analysis Complex facilitation, operating model and process design, capability mapping, requirements strategy, traceability, options, and change impact.

MOM & MES Strong understanding of manufacturing operations and MES across production execution, quality, traceability, material flow, maintenance, and performance.

Automation & IT/OT Working knowledge of industrial automation, PLC, SCADA, HMI, robotics, sensors, machines, OT environments, and enterprise technology.

Connectivity & Integration Govern system and data flows, APIs, events, industrial protocols, gateways, master data, transactional data, and machine data.

Manufacturing Intelligence Shape performance, quality, maintenance, alerting, predictive, AI, and digital twin use cases around decisions and measurable value.

Data Leadership Data definitions, ownership, quality, lineage, modeling, analytics requirements, SQL, and BI validation.

Leadership & Coaching Influence without authority, coach and assure BA work, resolve ambiguity, manage conflict, and build a consistent practice.

Executive Communication Create clear recommendations, options, trade-offs, roadmaps, portfolio views, and decision papers.

Experience & Qualifications

• Bachelor's or master's degree in Engineering, Manufacturing, Information Technology, Computer Science, Data, Supply Chain, Business, or a related field.
• Typically 8+ years of relevant experience, including senior or lead responsibility in business analysis, product management support, manufacturing systems, smart factory, or digital transformation.
• Demonstrated experience coordinating complex initiatives across multiple functions, systems, vendors, or manufacturing sites.
• Practical experience with MES, industrial automation, machine connectivity, data platforms, analytics, or enterprise integration.
• Experience creating governance, roadmaps, business cases, prioritization material, and executive decision support.
• Experience coaching BAs or leading analysis work across a portfolio or program.
• Professional English communication and the ability to influence senior business and technical stakeholders.