Senior Manager - Applied Intelligence and GenAI for Business Intelligence

S&C Global Network - AI -AI Labs-Senior Manager

Senior Manager – Applied Intelligence

AI4BI Techno-Functional (GenAI for BI) Senior Manager

Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.

As part of our Analytics practice, you will join a worldwide network of smart and driven colleagues experienced in leading tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

Senior Manager in Applied Intelligence – AI4BI Techno-Functional

An AI4BI Techno-Functional Senior Manager shapes and leads GenAI-led Business Intelligence transformation programs. They own senior client relationships, solution strategy, governance and program delivery across conversational BI, proactive insights, semantic layers/metrics governance, and agentic analytics automation—translating business priorities into a scalable roadmap and ensuring secure, responsible and measurable outcomes.

Duties and Responsibilities

• Own AI4BI program strategy and multi-workstream delivery: discovery, roadmap, operating model, governance, and scaled rollout.
• Lead executive client conversations and workshops to articulate AI4BI capabilities, value proposition, and delivery approach (MVP → scale).
• Translate business problems into end-to-end solution architecture across data products, semantic layer, BI experiences, and GenAI components.
• Drive solutioning and estimations for pursuits: proposals, SOW scope, delivery plans, staffing model, milestones, risks and dependencies.
• Define Responsible AI approach: safety and compliance controls, human-in-the-loop workflows, auditability, and observability/tracing for GenAI outputs.
• Drive adoption and measurable impact: stakeholder alignment, training, enablement, comms, and success metrics (accuracy, groundedness, time-to-insight, reduction in ad-hoc BI requests).
• Manage senior stakeholders across Business, IT, and Data.
• Mentor and grow managers/leads; build reusable assets (playbooks, accelerators, demo narratives, governance templates).

Educational Background/Qualifications

• B Tech/M Tech from reputed engineering colleges
• Masters/M Tech in Computer Science
• Master degree in Statistics/Econometrics/ Economics from reputed institute

Requirements

• 12–16+ years of experience in Analytics/BI/Data programs, with 8+ years in client leadership and program delivery roles.
• Proven experience leading GenAI initiatives for analytics/BI (conversational BI/NLQ, RAG, insight automation, or GenAI operating model).
• Strong solutioning capability: ability to convert business objectives into technical roadmap, architecture choices, and delivery plan.
• Working knowledge of BI and analytics lifecycle: requirements, modelling, dashboards, support, enhancement, and governance.
• Understanding of semantic layer / metrics governance concepts (single source of truth, KPI definitions, versioning, stewardship).
• Strong understanding of GenAI concepts and controls: prompt patterns, retrieval/grounding, evaluation methods, hallucination mitigation.
• Experience across one or more data/BI ecosystems (e.g., Power BI/Fabric, Databricks, Snowflake, Azure/AWS/GCP) is preferred.
• Excellent stakeholder management, executive communication, and team leadership; comfortable presenting to C-suite and steering committees.

Soft Skills

• Strategic thinker with a delivery mindset and strong bias for measurable outcomes.
• Excellent people manager and coach; fosters continuous learning and collaboration.
• Clear, concise communicator able to translate technical tradeoffs to business stakeholders.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.