Business Process Consultant

In today's market, there is a unique duality in technology adoption. On one side, extreme focus on cost containment by clients, and on the other, deep motivation to modernize their Digital storefronts to attract more consumers and B2B customers.

As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.

Headquartered in Bengaluru, India, Sonata has a strong global presence, including key regions in the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in BFSI (Banking, Financial Services, and Insurance), HLS (Healthcare and Lifesciences), TMT (Telecom, Media, and Technology), Retail & CPG, and Manufacturing space. Our bouquet of Modernization Engineering Services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms.

We are seeking a senior, AI-aware business process and platform operations consultant. This person will support a new agentic AI-based search platform by connecting business stakeholders, product, platform, engineering and vendor teams. The role blends business analysis, project operations, agile coordination, Jira/Confluence administration, knowledge management, training content and practical use of enterprise AI tools.

• Our client is building a new agentic AI-based search platform supporting R&D search, external innovation, knowledge discovery, market intelligence and related business-development workflows.
• The environment has three connected work streams: platform, product and engineering/development.
• The engineering team is responsible for building the platform.
• The immediate gap is in business process definition, requirements, roadmap support, coordination, documentation, knowledge management, training and AI-enabled ways of working.
• The team is operating in a startup-style manner. Processes and priorities may change as users test the platform and the team learns what works.
• The consultant must introduce practical structure without slowing down the team through unnecessary process.

• Senior Manager-level maturity or a strong senior individual contributor profile.
• Likely 5+ years of highly relevant experience, though years alone should not determine fit.
• Able to lead work independently and represent it in front of VPs, Senior Directors and functional leaders.
• Comfortable moving between strategic discussions and detailed operational execution.

• Business process mapping, including current-state, future-state and gap analysis.
• Business and functional requirements gathering and documentation.
• Project or program coordination with ownership of weekly status reporting.
• Agile delivery support, backlog management and release/sprint coordination.
• Hands-on Jira and Confluence administration.
• Risk, issue, action, timeline and dependency tracking.
• Training materials, user guides, playbooks or process manuals.
• Knowledge management and platform documentation.
• Cross-functional stakeholder and vendor coordination.

• Acts with urgency and follows through without repeated prompting.
• Comfortable with ambiguity, changing priorities and incomplete processes.
• Structured and organized without becoming rigid or bureaucratic.
• Challenges unclear requests and proposes better approaches.
• Brings ideas; does not operate as an order taker.
• Manages multiple work streams without losing detail.
• Works effectively in a startup-style environment inside a large enterprise.
• Uses good judgment and can move work forward without constant supervision.

• Biopharma, biotechnology, life sciences, pharmaceutical R&D or healthcare technology.
• Another regulated industry may be considered if the candidate has the right platform, process and AI experience.
• The person should understand the context of scientific, R&D, external innovation or senior business stakeholders.

• Practical daily use of Microsoft Copilot, Claude or other enterprise AI assistants.
• Ability to explain specific examples of AI-assisted requirements, summaries, reporting, documentation, training or workflow automation.
• Understanding of how business, product, platform and engineering teams work together.
• Comfort with basic AI, enterprise search, platform and cloud terminology.
• AWS familiarity is helpful but not mandatory.
• Coding is not required. Light prompting, workflow automation or prototyping is a plus.

• Translate business needs into clear workflows, requirements,…