Director of Data Engineering / Delivery Manager
Experience
15+ Years
Location
Remote
Role Summary
We are seeking a Director of Data Engineering/ Senior Delivery Manager to lead large-scale Data Management programs for marquee clients in our Sports & Gaming practice. This role combines delivery excellence, stakeholder management, team leadership, and account growth, with a strong emphasis on best practices, innovation, and customer satisfaction.
The ideal candidate should bring deep experience in data management delivery, strong analytical skills, and the ability to mine new opportunities within existing accounts while ensuring high team morale and predictable outcomes. The incumbent will collaborate closely with business stakeholders, and delivery teams to drive best practices, ensure consistently best quality output across the board, and endeavor to improve the current state.
Key Responsibilities:
1. Delivery Leadership
- Own end-to-end delivery of analytics and data management engagements, ensuring scope, timelines, quality, and cost targets are met.
- Establish and enforce delivery best practices, governance models, and execution frameworks across programs.
- Manage complex, multi-workstream programs and projects involving data engineering, data platforms, and analytics solutions.
- Proactively identify risks, dependencies, and bottlenecks; drive structured problem-solving and mitigation plans.
2. Stakeholder & Client Management
- Act as a trusted advisor to senior client stakeholders, ensuring transparency, alignment, and value realization.
- Lead executive-level reviews, steering committee meetings, and roadmap discussions.
- Balance client expectations with internal capabilities to ensure sustainable delivery.
3. Team Leadership & Talent Development
- Build, manage, and scale large, globally distributed teams across geographies.
- Foster a culture of collaboration, ownership, continuous improvement, and high team satisfaction.
- Mentor delivery managers, tech leads, and high-potential talent; support growth opportunities and succession planning.
4. Analytics, Data & Technology Oversight
- Provide delivery leadership for solutions involving:
- Data Management & Data Engineering
- Cloud-based analytics platforms
- Data warehousing and modern data stacks
- Demonstrate strong familiarity with:
- AWS Cloud, including AWS Redshift
- SQL and Python (hands-on not mandatory, but must be delivery-fluent)
- Collaborate with architects and engineering leads to ensure scalable, secure, and performant solutions.
5. Account Growth & Organic Business Development
- Drive organic growth within existing accounts by identifying white-space opportunities and unmet client needs.
- Partner with sales and leadership to support account growth targets, proposals, and solution shaping.
- Lead opportunity mining, effort estimation, and delivery approach definition for new initiatives.
- Contribute to long-term account strategy and roadmap planning.
Qualifications:
- 10-12 years of experience in delivery, program, or project management within analytics, data management, or data engineering domains.
- Proven experience managing large, global, cross-functional teams.
- Strong understanding of data management and data engineering ecosystems.
- Strong experience with AWS.
- Hands-on familiarity with SQL & Python
- Experience with Agile delivery and project management tools (JIRA, Azure DevOps, etc.).
- Excellent analytical and problem-solving skills with a structured, data-driven mindset.
- Experience with data clean room solutions, consent platforms, DataOps exposure (data observability, DQ frameworks, lineage, incident management, and SLO/SLA governance), software/application development delivery (frontend, backend, API management, and design/UX collaboration), SDLC practices (CI/CD)
- Outstanding communication and stakeholder management skills, including executive presence.
- Demonstrated success in account mining, organic BD, and supporting revenue growth.
Must Have Skills:
- Mandatory AWS expertise and certification(s)
- Strong data management experience
- Candidates with experience in domains such as Sports, Media, Entertainment, Gaming, Health, Fitness, or Lifestyle would be highly preferred
Preferred Skills:
- Ability to balance strategic project management with technical understanding.
- Experience working with Fortune 500 or global enterprise clients.
- Passion for sports, fan engagement, or DTC business models.
- Experience with other cloud data ecosystems (Azure, Databricks, Snowflake, GCP).
Soft Skills:
- Excellent leadership, communication, and stakeholder management abilities.
- Strong problem-solving, analytical thinking, and decision-making skills.
Responsibilities
Director of Data Engineering / Delivery Manager
Experience
15+ Years
Location
Remote
Role Summary
We are seeking a Director of Data Engineering/ Senior Delivery Manager to lead large-scale Data Management programs for marquee clients in our Sports & Gaming practice. This role combines delivery excellence, stakeholder management, team leadership, and account growth, with a strong emphasis on best practices, innovation, and customer satisfaction.
The ideal candidate should bring deep experience in data management delivery, strong analytical skills, and the ability to mine new opportunities within existing accounts while ensuring high team morale and predictable outcomes. The incumbent will collaborate closely with business stakeholders, and delivery teams to drive best practices, ensure consistently best quality output across the board, and endeavor to improve the current state.
Key Responsibilities:
1. Delivery Leadership
- Own end-to-end delivery of analytics and data management engagements, ensuring scope,
timelines, quality, and cost targets are met.
- Establish and enforce delivery best practices, governance models, and execution frameworks across programs.
- Manage complex, multi-workstream programs and projects involving data engineering, data platforms, and analytics solutions.
- Proactively identify risks, dependencies, and bottlenecks; drive structured problem-solving and mitigation plans.
2. Stakeholder & Client Management
- Act as a trusted advisor to senior client stakeholders, ensuring transparency, alignment, and value realization.
- Lead executive-level reviews, steering committee meetings, and roadmap discussions.
- Balance client expectations with internal capabilities to ensure sustainable delivery.
3. Team Leadership & Talent Development
- Build, manage, and scale large, globally distributed teams across geographies.
- Foster a culture of collaboration, ownership, continuous improvement, and high team satisfaction.
- Mentor delivery managers, tech leads, and high-potential talent; support career growth and succession planning.
4. Analytics, Data & Technology Oversight
- Provide delivery leadership for solutions involving:
- Data Management & Data Engineering
- Cloud-based analytics platforms
- Data warehousing and modern data stacks
- Demonstrate strong familiarity with:
- AWS Cloud, including AWS Redshift
- SQL and Python (hands-on not mandatory, but must be delivery-fluent)
- Collaborate with architects and engineering leads to ensure scalable, secure, and performant solutions.
5. Account Growth & Organic Business Development
- Drive organic growth within existing accounts by identifying white-space opportunities and unmet client needs.
- Partner with sales and leadership to support account growth targets, proposals, and solution shaping.
- Lead opportunity mining, effort estimation, and delivery approach definition for new initiatives.
- Contribute to long-term account strategy and roadmap planning.
Qualifications:
- 10-12 years of experience in delivery, program, or project management within analytics, data management, or data engineering domains.
- Proven experience managing large, global, cross-functional teams.
- Robust understanding of data management and data engineering ecosystems.
- Strong experience with AWS.
- Hands-on familiarity with SQL & Python
- Experience with Agile delivery and project management tools (JIRA, Azure DevOps, etc.).
- Excellent analytical and problem-solving skills with a structured, data-driven mindset.
- Experience with data clean room solutions, consent platforms, DataOps exposure (data observability, DQ frameworks, lineage, incident management, and SLO/SLA governance), software/application development delivery (frontend, backend, API management, and design/UX collaboration), SDLC practices (CI/CD)
- Outstanding communication and stakeholder management skills, including executive presence.
- Demonstrated success in account mining, organic BD, and supporting revenue growth.
Must Have Skills:
- Mandatory AWS expertise and certification(s)
- Strong data management experience
- Candidates with experience in domains such as Sports, Media, Entertainment, Gaming, Health, Fitness, or Lifestyle would be highly preferred
Preferred Skills:
- Ability to balance strategic project management with technical understanding.
- Experience working with Fortune 500 or global enterprise clients.
- Passion for sports, fan engagement, or DTC business models.
- Experience with other cloud data ecosystems (Azure, Databricks, Snowflake, GCP).
Soft Skills:
- Excellent leadership, communication, and stakeholder management abilities.
- Strong problem-solving, analytical thinking, and decision-making skills.
Qualifications
Director of Data Engineering / Delivery Manager
Experience
15+ Years
Location
Remote
Role Summary
We are seeking a Director of Data Engineering/ Senior Delivery Manager to lead large-scale Data Management programs for marquee clients in our Sports & Gaming practice. This role combines delivery excellence, stakeholder management, team leadership, and account growth, with a strong emphasis on best practices, innovation, and customer satisfaction.
The ideal candidate should bring deep experience in data management delivery, strong analytical skills, and the ability to mine new opportunities within existing accounts while ensuring high team morale and predictable outcomes. The incumbent will collaborate closely with business stakeholders, and delivery teams to drive best practices, ensure consistently best quality output across the board, and endeavor to improve the current state.
Key Responsibilities:
1. Delivery Leadership
- Own end-to-end delivery of analytics and data management engagements, ensuring scope, timelines, quality, and cost targets are met.
- Establish and enforce delivery best practices, governance models, and execution frameworks across programs.
- Manage complex, multi-workstream programs and projects involving data engineering, data platforms, and analytics solutions.
- Proactively identify risks, dependencies, and bottlenecks; drive structured problem-solving and mitigation plans.
2. Stakeholder & Client Management
- Act as a trusted advisor to senior client stakeholders, ensuring transparency, alignment, and value realization.
- Lead executive-level reviews, steering committee meetings,
and roadmap discussions.
- Balance client expectations with internal capabilities to ensure sustainable delivery.
3. Team Leadership & Talent Development
- Build, manage, and scale large, globally distributed teams across geographies.
- Foster a culture of collaboration, ownership, continuous improvement, and high team satisfaction.
- Mentor delivery managers, tech leads, and high-potential talent; support career growth and succession planning.
4. Analytics, Data & Technology Oversight
- Provide delivery leadership for solutions involving:
- Data Management & Data Engineering
- Cloud-based analytics platforms
- Data warehousing and modern data stacks
- Demonstrate strong familiarity with:
- AWS Cloud, including AWS Redshift
- SQL and Python (hands-on not mandatory, but must be delivery-fluent)
- Collaborate with architects and engineering leads to ensure scalable, secure, and performant solutions.
5. Account Growth & Organic Business Development
- Drive organic growth within existing accounts by identifying white-space opportunities and unmet client needs.
- Partner with sales and leadership to support account growth targets, proposals, and solution shaping.
- Lead opportunity mining, effort estimation, and delivery approach definition for new initiatives.
- Contribute to long-term account strategy and roadmap planning.
Qualifications:
- 10-12 years of experience in delivery, program, or project management within analytics, data management, or data engineering domains.
- Proven experience managing large, global, cross-functional teams.
- Strong understanding of data management and data engineering ecosystems.
- Strong experience with AWS.
- Hands-on familiarity with SQL & Python
- Experience with Agile delivery and project management tools (JIRA, Azure DevOps, etc.).
- Excellent analytical and problem-solving skills with a structured, data-driven mindset.
- Experience with data clean room solutions, consent platforms, DataOps exposure (data observability, DQ frameworks, lineage, incident management, and SLO/SLA governance), software/application development delivery (frontend, backend, API management, and design/UX collaboration), SDLC practices (CI/CD)
- Outstanding communication and stakeholder management skills, including executive presence.
- Demonstrated success in account mining, organic BD, and supporting revenue growth.
Must Have Skills:
- Mandatory AWS expertise and certification(s)
- Strong data management experience
- Candidates with experience in domains such as Sports, Media, Entertainment, Gaming, Health, Fitness, or Lifestyle would be highly preferred
Preferred Skills:
- Ability to balance strategic project management with technical understanding.
- Experience working with Fortune 500 or global enterprise clients.
- Passion for sports, fan engagement, or DTC business models.
- Experience with other cloud data ecosystems (Azure, Databricks, Snowflake, GCP).
Soft Skills:
- Excellent leadership, communication, and stakeholder management abilities.
- Strong problem-solving, analytical thinking, and decision-making skills.
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others.
EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers.
We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible.
Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients.
Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.
📌 Delivery Lead (Hyderabad)
🏢 EXL
📍 Hyderabad