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Data Solutions Manager

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Onsite

Data Solutions Manager

dataSpecta

Data Solutions Manager

Skills

SQL QueriesData EngineeringE-commerce WebsitesSnowflakeDatabricksData AnalysisAIAWSdbtOracleRisk ManagementPower BIAzure

20 days ago

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Important information


Contract type:

Permanent

Location:

İstanbul, Türkiye

Work mode:

Onsite

Published on:

2 October 2026

What they need


About DataSpecta

DataSpecta is a Data & AI consulting and engineering company helping organizations transform data into measurable business value through advanced analytics, modern data platforms and enterprise AI solutions.

We design and deliver solutions across both on-premise and cloud environments , working closely with enterprise customers from discovery through production.

Alongside customer projects, we build our own AI products such as CogniSpecta (enterprise knowledge & cognitive search) and CodeSpecta (AI-powered software engineering).

We’re looking for a Data Solutions Manager who combines strong consulting and delivery capabilities with the ability to shape solutions, lead pre-sales activities and grow trusted customer relationships.

You will take ownership across project delivery, pre-sales and account management , working closely with DataSpecta leadership, technical teams and technology partners to turn business needs into successful Data & AI engagements.

What You Will Work On

  • Enterprise data platforms, Data Warehousing and Business Intelligence
  • Data Engineering, integration and platform modernization
  • Data Governance, data quality and Data & AI assessments
  • Advanced analytics, Generative AI and enterprise AI solutions
  • Customer discovery, solution proposals and transformation roadmaps
  • Delivery oversight and development of existing customer accounts

Responsibilities

Project Delivery & Engagement Management

  • Own the day-to-day management of customer engagements, ensuring alignment on scope, timelines, effort, quality and expected outcomes
  • Translate agreed objectives into actionable delivery plans, clear responsibilities and measurable milestones
  • Coordinate consultants and technical leads across multiple engagements; align staffing and capacity needs with leadership
  • Monitor project progress, effort consumption and budget performance; proactively manage risks, dependencies and scope changes
  • Lead customer status meetings and steering committee discussions, providing clear updates and driving decisions
  • Review deliverables with technical leads to ensure they address customer needs and meet quality expectations

Pre-Sales & Solution Development

  • Lead discovery meetings and workshops to understand business priorities, existing technology landscapes and delivery constraints
  • Work with Data Engineers, AI specialists and Solution Architects to define solution approaches and delivery models
  • Prepare proposals, statements of work, effort estimates, project plans and customer presentations
  • Clearly articulate business value, solution options, assumptions and trade-offs to technical and executive stakeholders
  • Coordinate demos, assessments and proof-of-concept activities with internal teams and technology partners
  • Ensure a smooth handover from pre-sales to delivery, preserving commitments and scope clarity

Account Management & Growth

  • Act as a primary point of contact for assigned customers, building relationships with business and technology stakeholders
  • Maintain visibility into customer priorities, satisfaction and upcoming needs
  • Identify follow-on opportunities across DataSpecta’s consulting services and proprietary solutions
  • Support account planning, renewals and engagement extensions in collaboration with leadership
  • Take ownership of customer issues, coordinate resolution and escalate when needed
  • Connect customer feedback with improvements in delivery practices and service offerings

Required Qualifications

  • Bachelor’s degree in Engineering, Computer Science, Management Information Systems or a related field
  • 8+ years of relevant professional experience in Data & Analytics, enterprise technology or technology consulting
  • Prior consulting experience , with direct responsibility for customer-facing engagements
  • Proven experience managing Data & Analytics or AI projects, including scope, planning, stakeholder communication and delivery coordination
  • Experience contributing to or leading pre-sales activities, including discovery, proposal development, effort estimation and solution presentations
  • Strong understanding of enterprise data platforms, Data Warehousing, BI and the role of Data Governance and AI within enterprise environments
  • Ability to connect business objectives with technical solutions and discuss delivery implications with technical teams
  • Strong stakeholder management, presentation and written communication skills
  • Ability to manage multiple engagements and priorities with a high degree of ownership
  • Professional proficiency in Turkish and English

Technical & Leadership Experience (a plus)

  • Previous hands-on experience in Data Engineering, Data Governance or AI solution development
  • Experience leading or mentoring consultants and multidisciplinary delivery teams
  • Familiarity with SQL, ETL/ELT, data modeling and modern data transformation approaches
  • Experience with data quality, metadata management, data catalogs, lineage or governance operating models
  • Exposure to Generative AI, RAG, AI agents and the deployment of enterprise AI applications
  • Familiarity with technologies such as dbt, Microsoft Fabric, Azure, AWS, Databricks, Snowflake, Oracle or Power BI
  • Experience managing project profitability, resource utilization or account growth
  • Experience collaborating with technology vendors and partner ecosystems

Domain Experience (a plus)

  • Banking & Financial Services, Insurance, Retail, E-commerce, Telecommunications or other enterprise environments

What We Value

  • Ownership from the first customer conversation through delivery and follow-on opportunities
  • Clear communication and sound judgment across business and technical discussions
  • A practical approach to balancing customer expectations, delivery quality and commercial outcomes
  • The ability to build customer trust while managing scope and commitments responsibly
  • A collaborative mindset and willingness to support the development of others
  • Curiosity about emerging Data & AI technologies and their business applications

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