Assistant Vice President - Delivery ( Datat & Analytics)

Talent et au-dela; Hyderabad; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

A leading analytics firm in Hyderabad is seeking an Assistant Vice President – Delivery (Data & Analytics) to drive end-to-end excellence across client engagements. This senior leadership role combines delivery leadership, business growth, and client partnership to ensure high-quality outcomes and customer satisfaction. The ideal candidate will have 18-22 years of experience in Data & Analytics and a proven track record in managing multi-million-dollar programs while leading global teams.

Qualifications

• 18–22 years of experience in Data & Analytics, with a strong focus on delivery leadership.
• Proven track record of managing large, complex portfolios and multi-million-dollar programs.
• Experience in leading global teams and working with enterprise clients across industries.

Responsibilities

• Provide strategic leadership and governance across multiple, complex Data & Analytics engagements.
• Own end-to-end delivery accountability, ensuring projects meet scope, timelines, budget, and quality benchmarks.
• Drive customer satisfaction, retention, and long-term partnerships.
• Define and track KPIs across delivery performance, quality, financials, and customer satisfaction.

Skills

Data Warehousing & ETL Architecture

Data Management & Master Data Management (MDM)

Data Quality frameworks and practices

Data Governance frameworks, tools, and best practices

Programming & Querying: Python, SQL

Big Data Technologies: Spark, PySpark, Scala, Hadoop, Kafka

Cloud Data Platforms: Snowflake, Databricks, AWS, Azure, or GCP

Databases: NoSQL and distributed systems

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field

Data Governance / MDM (e.g., DAMA, CDMP)

Program Management (PMP, SAFe)

Job description

Assistant Vice President – Delivery (Data & Analytics)

Role Summary

The Assistant Vice President – Delivery (Data & Analytics) is a senior leadership role responsible for driving end-to-end delivery excellence across a portfolio of strategic client engagements. This role combines delivery leadership, business growth, and client partnership to ensure high-quality outcomes, customer satisfaction, and sustained revenue expansion.

The incumbent will define and execute delivery strategies, oversee large-scale data transformation programs, and act as a trusted advisor to executive stakeholders while ensuring alignment with organizational goals.

Key Responsibilities

• Provide strategic leadership and governance across multiple, complex Data & Analytics engagements.
• Own end-to-end delivery accountability, ensuring projects meet scope, timelines, budget, and quality benchmarks.
• Establish scalable delivery models, frameworks, and best practices across the portfolio.
• Drive continuous improvement and operational excellence in delivery execution.

Client Engagement & Stakeholder Management

• Act as a trusted advisor to C-level stakeholders (CIO, CDO, CTO) across client organizations.
• Build and maintain strong executive relationships, ensuring alignment with business objectives.
• Lead executive governance forums, steering committees, and strategic reviews.
• Drive customer satisfaction, retention, and long-term partnerships.

Business Growth & Commercial Ownership

• Own portfolio-level P&L, including revenue growth, margin optimization, and cost efficiency.
• Identify and drive upsell, cross-sell, and new business opportunities within existing accounts.
• Collaborate with sales and pre-sales teams on solutioning, proposals, and deal shaping.
• Support contract negotiations, pricing strategies, and commercial governance.
• Prioritize accounts and initiatives based on strategic importance, revenue impact, and customer value.
• Ensure high-impact engagements receive appropriate leadership focus and resource allocation.
• Drive measurable business outcomes and ROI for clients through data-driven solutions.
• Lead workforce planning, ensuring optimal allocation of skills, budget, and capacity across the portfolio.
• Build and mentor high-performing, globally distributed teams.
• Develop leadership pipelines and succession plans.
• Foster a culture of innovation, accountability, and continuous learning.

Performance Management & Governance

• Define and track KPIs across delivery performance, quality, financials, and customer satisfaction.
• Establish robust governance frameworks, including risk, compliance, and quality controls.
• Conduct regular portfolio reviews and provide actionable insights to executive leadership.
• Monitor overall program health across engagements (schedule, cost, scope, and quality).
• Identify risks, dependencies, and issues proactively; drive mitigation and escalation strategies.
• Ensure adherence to enterprise delivery standards and regulatory requirements.

Reporting & Executive Communication

• Provide clear, concise, and data-driven reporting to internal leadership and clients.
• Present portfolio performance, risks, and strategic recommendations at executive forums.
• Ensure transparency and alignment across all stakeholders.

Core Leadership Competencies

• Strategic Leadership: Ability to define and execute long-term Data & Analytics vision aligned with business strategy.
• Executive Influence: Strong presence and ability to engage, influence, and advise C-suite stakeholders.
• Business & Financial Acumen: Deep understanding of P&L management, revenue growth, and margin optimization.
• Client-Centric Mindset: Proven ability to deliver customer value and build long-term partnerships.
• People Leadership: Experience managing large-scale teams and developing senior leadership talent.
• Transformation Leadership: Ability to lead enterprise-wide data transformation and modernization initiatives.
• Decision-Making: Strong analytical and problem-solving skills in complex, ambiguous environments.
• Operational Excellence: Expertise in governance, delivery frameworks, and performance optimization at scale.

Mandatory Skills & Expertise

• Data Warehousing & ETL Architecture
• Data Management & Master Data Management (MDM)
• Data Quality frameworks and practices
• Data Governance frameworks, tools, and best practices

Preferred Technical Expertise

• Programming & Querying: Python, SQL
• Big Data Technologies: Spark, PySpark, Scala, Hadoop, Kafka
• Cloud Data Platforms: Snowflake, Databricks, AWS, Azure, or GCP
• Databases: NoSQL and distributed systems
• Experience with modern cloud-based data ecosystems and architectures

Qualification Criteria

Education & Certifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Data Governance / MDM (e.g., DAMA, CDMP)
• Program Management (PMP, SAFe)

Experience

• 18–22 years of experience in Data & Analytics, with a strong focus on delivery leadership.
• Proven track record of managing large, complex portfolios and multi-million-dollar programs.
• Experience in leading global teams and working with enterprise clients across industries.

Success Metrics

• Revenue growth and portfolio profitability
• Delivery predictability (on-time, on-budget)
• Talent retention and leadership development
• Expansion of strategic accounts