Delivery Manager

The Delivery Manager will be responsible for overseeing end-to-end delivery governance

across multiple analytics and technology engagements. The role requires strong client-

facing capabilities, operational rigor, delivery leadership, and the ability to manage

multiple Project Managers and cross-functional delivery teams.

This individual will act as the central delivery owner responsible for ensuring:

• successful project execution,

• delivery quality,

• resource optimization,

• client satisfaction,

• escalation management,

• and delivery process maturity.

The ideal candidate should come from analytics consulting, IT services, BI consulting, or

digital transformation environments and should have hands-on experience managing

complex client delivery portfolios.

Key Responsibilities

Delivery Governance & Portfolio Management

• Oversee delivery across multiple concurrent analytics, BI, and data engineering

projects.

• Ensure projects are delivered on time, within scope, and aligned with client

expectations.

• Establish governance mechanisms for project reviews, delivery tracking, risk

management, and escalation handling.

• Drive standardized delivery processes across all engagements.

• Monitor delivery KPIs, utilization, profitability, quality, and resource allocation.

• Conduct periodic delivery reviews with Project Managers and leadership teams.

Project & Program Oversight

• Mentor and oversee Project Managers handling individual client engagements.

• Ensure effective planning, execution, dependency management, and stakeholder

coordination across projects.

• Identify delivery risks proactively and drive mitigation plans.

• Manage cross-project prioritization and resource conflicts.

• Review project health indicators including timelines, effort variance, budget

adherence, and client feedback.

Client & Stakeholder Management

• Serve as a senior delivery interface for key client stakeholders.

• Build strong client confidence through structured communication and delivery

excellence.

• Participate in governance meetings, steering committee discussions, and

escalation resolution.

• Manage delivery expectations and navigate changing priorities in dynamic

consulting environments.

• Support account growth by identifying opportunities for delivery expansion and

managed services.

Resource & Capacity Management

• Oversee team allocation, bandwidth planning, and utilization management.

• Collaborate with hiring and leadership teams for resource forecasting and staffing

requirements.

• Ensure appropriate skill mapping across analytics, BI, engineering, and reporting

projects.

• Optimize delivery capacity while maintaining quality standards.

Process Improvement & Operational Excellence

• Build scalable delivery frameworks, SOPs, templates, and governance models.

• Drive continuous improvement initiatives across delivery operations.

• Implement delivery dashboards, reporting standards, and performance tracking

mechanisms.

• Improve operational maturity and reduce founder dependency in day-to-day project

management.

Quality & Delivery Assurance

• Ensure adherence to delivery standards, documentation practices, and quality

benchmarks.

• Conduct periodic quality reviews of project outputs, reporting structures, and client

deliverables.

• Drive accountability and ownership across project teams.

• Ensure delivery consistency across all accounts.

Required Skills & Experience

Experience

• 8–14 years of experience in IT services, analytics consulting, BI consulting, data

engineering.

• Minimum 3–5 years in delivery/program management roles managing multiple

projects simultaneously.

• Experience managing Project Managers and cross-functional delivery teams.

• Strong exposure to client-facing consulting environments.

Domain Exposure

Preferred exposure to:

• Business Intelligence & Reporting

• Data Analytics

• Data Engineering

• Dashboarding & Visualization

• Enterprise Reporting

• Managed Analytics Services

• Digital Transformation Initiatives

Technical Understanding

The candidate is not expected to be hands-on technically, but should possess strong

conceptual understanding of:

• Data pipelines and ETL workflows

• BI ecosystems

• Reporting architectures

• Analytics delivery lifecycle

• Cloud and modern data platforms

• Agile and hybrid delivery methodologies

Exposure to platforms/tools such as:

• Power BI

• Tableau

• SQL

• Azure / AWS / GCP

• Data Warehousing concepts

• Analytics workflows

will be an added advantage.

Key Competencies

Mandatory Competencies

• Strong delivery governance skills

• Multi-project management capability

• Excellent stakeholder management

• Escalation handling and conflict resolution

• Resource planning and utilization management

• Strong operational discipline

• Analytical and structured problem-solving approach

• Excellent communication and presentation skills

• Ownership mindset and accountability

Preferred Personality Traits

• Calm under pressure

• Process-oriented but adaptable

• High ownership mentality

• Ability to work in ambiguity

• Strong follow-through capability

• Team leadership and mentoring mindset

• Commercial awareness and client sensitivity

What We Are Looking For

We are looking for a delivery leader who can:

• bring structure to a fast-growing consulting environment,

• establish scalable delivery practices,

• improve operational maturity,

• reduce leadership bandwidth dependency,

• and strengthen client confidence across engagements.

The ideal candidate should be comfortable operating in a growing organization where

processes are evolving and leadership ownership is valued.

KPIs / Success Metrics

The role will be evaluated based on:

• On-time delivery performance

• Client satisfaction and retention

• Delivery quality

• Resource utilization

• Delivery governance maturity

• Reduction in escalations

• Forecasting accuracy

• Operational efficiency improvements

• Support in account growth and expansion

Preferred Industry Background

Candidates from the following environments will be preferred:

• Analytics consulting firms

• BI consulting organizations

• Mid-sized IT services companies

• Data and AI consulting firms

• Digital transformation consulting organizations

Examples include:

• Tredence

• Tiger Analytics

• Mu Sigma

• Fractal Analytics

• LatentView Analytics

Educational Qualifications

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or

related disciplines.

• MBA / PMP / Prince2 / Agile certifications are a plus.