Director, Data Management
United States
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- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingOwn end-to-end delivery of analytics and data management engagements, ensuring scope, timelines, quality, and cost targets are met.
Collaborate with architects and engineering leads to ensure scalable, secure, and performant solutions.
Manage complex, multi-workstream programs and projects involving data engineering, data platforms, and analytics solutions.
From the employer’s posting
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.
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
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.
What you’ll bring
All qualificationsCore experience
- 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 or other cloud data ecosystems (Azure, Databricks, Snowflake, GCP).
- Hands-on familiarity with SQL & Python
- Experience with Agile delivery and project management tools (JIRA, Azure DevOps, etc.).
Preferred experience
- Ability to balance strategic project management with technical understanding.
- Excellent leadership, communication, and stakeholder management abilities.
- Experience working with Fortune 500 or global enterprise clients.
Qualification wording
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 or other cloud data ecosystems (Azure, Databricks, Snowflake, GCP).
Hands-on familiarity with SQL & Python
Experience with Agile delivery and project management tools (JIRA, Azure DevOps, etc.).
Ability to balance strategic project management with technical understanding.
Excellent leadership, communication, and stakeholder management abilities.
Experience working with Fortune 500 or global enterprise clients.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Snowflake
- Google Cloud (GCP)
- Redshift
Source — Tool mentions in context
- 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.
- Strong experience with AWS or other cloud data ecosystems (Azure, Databricks, Snowflake, GCP). - Hands-on familiarity with SQL & Python - Experience with Agile delivery and project management tools (JIRA, Azure DevOps, etc.).
- Demonstrate strong familiarity with: - AWS Cloud, including AWS Redshift - SQL and Python (hands-on not mandatory, but must be delivery-fluent)
- Strong understanding of data management and data engineering ecosystems. - Strong experience with AWS or other cloud data ecosystems (Azure, Databricks, Snowflake, GCP). - Hands-on familiarity with SQL & Python
- 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.
Job description
JOB DESCRIPTION
We are seeking a Director, Data Management to lead large-scale Analytics & 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 & analytics 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 or other cloud data ecosystems (Azure, Databricks, Snowflake, GCP).
- 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.
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.
Soft Skills:
- Excellent leadership, communication, and stakeholder management abilities.
- Strong problem-solving, analytical thinking, and decision-making skills.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
United States
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- Work authorization
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- Status in our records
- Unknown — awaiting fresh evidence
- First seen by us
- Aug 12, 2026
- Recorded sightings
- 1
- Last seen by us
- Sep 10, 2026
- Employer says posted
- Jul 20, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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