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
1. Portfolio & Delivery Leadership
- 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.
2. 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.
3. 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.
4. Account Prioritization & Value Realization
- 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.
5. Resource Strategy & Talent Leadership
- 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.
6. 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.
7. Program Oversight & Risk Management
- 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.
8. 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
- Enterprise Data 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
- BI & Visualization Tools: Power BI, Tableau
- 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.
- MBA or equivalent business qualification preferred.
- Relevant certifications (preferred):
- Cloud platforms (AWS, Azure, GCP)
- Data platforms (Snowflake, Databricks)
- Data Governance / MDM (e.g., DAMA, CDMP)
- Program Management (PMP, SAFe)
Experience
- 1822 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
- Customer satisfaction (CSAT/NPS)
- Delivery predictability (on-time, on-budget)
- Talent retention and leadership development
- Expansion of strategic accounts
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