Data Solutions Manager

Dataspecta; Fatih; Presencial; TRY 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

DataSpecta is seeking aData Solutions Manager in Turkey to lead project delivery, pre-sales and account management for enterprise Data & AI initiatives. You will own engagements, coordinate cross-functional teams and drive value from discovery through delivery.

The role requires 8+ years in data, analytics or AI consulting, with prior consulting experience and strong Turkish and English communication. Hybrid collaboration with leadership and partners is expected.

Formación

• Bachelor’s degree in Engineering, Computer Science, MIS 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.
• Professional proficiency in Turkish and English.
• Experience with data governance, data quality, and data transformation approaches.
• Exposure to Generative AI, RAG, AI agents and enterprise AI deployments.
• Familiarity with dbt, Microsoft Fabric, Azure, AWS, Databricks, Snowflake, Oracle or Power BI.

Responsabilidades

• Own day-to-day management of customer engagements, ensuring scope, timelines, effort and outcomes.
• Translate objectives into delivery plans with clear responsibilities and milestones.
• Coordinate consultants and technical leads across engagements; align staffing with leadership.
• Monitor progress, budget and risk; manage scope changes.
• Lead status meetings and steering committee discussions with clear updates.
• Review deliverables with leads to ensure quality and customer fit.
• Lead discovery meetings to understand priorities, tech landscapes and constraints.
• Define solution approaches and delivery models with engineers and architects.
• Prepare proposals, statements of work and effort estimates.
• Articulate business value and trade-offs to stakeholders.
• Coordinate demos, assessments and PoCs with internal teams and partners.
• Ensure smooth handover from pre-sales to delivery.

Conocimientos

8+ years experience

Prior consulting experience

Stakeholder management

Delivery coordination

Turkish & English

Solution delivery

Educación

Bachelor’s degree in Engineering, Computer Science, MIS or related

Herramientas

dbt

Microsoft Fabric

Azure

AWS

Databricks

Snowflake

Power BI

Oracle

Descripción del empleo

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
• 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 elevate 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
• 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
• 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