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Tech Stack
Tools & technologiesAmazon RedshiftAWSAzureCloudGoogle Cloud PlatformPythonSDLCSQL
About the role
Key responsibilities & impact- 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.
- 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.
- 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.
- Provide delivery leadership for solutions involving data management & data engineering, cloud-based analytics platforms, and 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.
- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Health insurance
- 401(k) retirement plans
- Paid time off
- Flexible working arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data EngineeringData ManagementSQLPythonData WarehousingDataOpsCI/CDAgile DeliverySoftware Development Life CycleData Clean Room Solutions
Soft Skills
Analytical SkillsProblem-SolvingCommunicationCollaborationMentoring